Welcome to the "Predictive Medicine in Bioinformatics" competition hosted by InVitro Cell Research, LLC (ICR). In this notebook, we will embark on a data science journey to develop a predictive model capable of detecting three medical conditions based on measurements of health characteristics.
Objective:
The primary objective of this competition is to predict whether a person has any of three medical conditions (Class 1) or none of the three medical conditions (Class 0). By utilizing predictive models, we aim to streamline the process of determining these medical conditions, which traditionally requires invasive and time-consuming data collection from patients. Our predictive model will leverage measurements of key health characteristics to make reliable and private predictions, thus potentially revolutionizing the field of bioinformatics.
Context:
Aging is a significant risk factor for various health issues, including heart disease, dementia, hearing loss, and arthritis. Bioinformatics, an emerging field, focuses on finding interventions to slow and reverse biological aging and prevent age-related ailments. In this data science competition, we will explore how data-driven approaches can contribute to solving critical problems in bioinformatics, even when dealing with small datasets.
About the Competition Host (InVitro Cell Research, LLC):
Founded in 2015, InVitro Cell Research, LLC (ICR) is a pioneering company dedicated to regenerative and preventive personalized medicine. Situated in the greater New York City area, ICR boasts state-of-the-art research facilities and a team of dedicated scientists who shape their mission of researching how to repair aging in people quickly.
Conclusion:
This competition is a thrilling opportunity to explore new methods for solving complex bioinformatics problems using diverse data. Your contributions can significantly impact the field and help researchers understand the relationship between health characteristics and potential patient conditions. Let's get started and develop an innovative and robust predictive model to improve the lives of countless individuals through personalized medicine!
# Importing required libraries:
import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib.colors import ListedColormap, LinearSegmentedColormap
import matplotlib.pyplot as plt
from colorama import Style, Fore
import plotly.express as px
import plotly.io as pio
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
import warnings
pip install missingno
Requirement already satisfied: missingno in c:\users\apara\anaconda3\lib\site-packages (0.5.2) Requirement already satisfied: seaborn in c:\users\apara\anaconda3\lib\site-packages (from missingno) (0.12.2) Requirement already satisfied: matplotlib in c:\users\apara\anaconda3\lib\site-packages (from missingno) (3.7.0) Requirement already satisfied: scipy in c:\users\apara\anaconda3\lib\site-packages (from missingno) (1.7.3) Requirement already satisfied: numpy in c:\users\apara\anaconda3\lib\site-packages (from missingno) (1.22.1) Requirement already satisfied: cycler>=0.10 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->missingno) (0.11.0) Requirement already satisfied: contourpy>=1.0.1 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->missingno) (1.0.5) Requirement already satisfied: pillow>=6.2.0 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->missingno) (9.4.0) Requirement already satisfied: pyparsing>=2.3.1 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->missingno) (3.0.9) Requirement already satisfied: fonttools>=4.22.0 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->missingno) (4.25.0) Requirement already satisfied: packaging>=20.0 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->missingno) (22.0) Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->missingno) (1.4.4) Requirement already satisfied: python-dateutil>=2.7 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->missingno) (2.8.2) Requirement already satisfied: pandas>=0.25 in c:\users\apara\anaconda3\lib\site-packages (from seaborn->missingno) (1.5.3) Requirement already satisfied: pytz>=2020.1 in c:\users\apara\anaconda3\lib\site-packages (from pandas>=0.25->seaborn->missingno) (2022.7) Requirement already satisfied: six>=1.5 in c:\users\apara\anaconda3\lib\site-packages (from python-dateutil>=2.7->matplotlib->missingno) (1.16.0) Note: you may need to restart the kernel to use updated packages.
!pip install --upgrade threadpoolctl
!pip install --upgrade scikit-learn imbalanced-learn
Requirement already satisfied: threadpoolctl in c:\users\apara\anaconda3\lib\site-packages (3.2.0) Requirement already satisfied: scikit-learn in c:\users\apara\anaconda3\lib\site-packages (1.3.0) Requirement already satisfied: imbalanced-learn in c:\users\apara\anaconda3\lib\site-packages (0.11.0) Requirement already satisfied: joblib>=1.1.1 in c:\users\apara\anaconda3\lib\site-packages (from scikit-learn) (1.1.1) Requirement already satisfied: scipy>=1.5.0 in c:\users\apara\anaconda3\lib\site-packages (from scikit-learn) (1.7.3) Requirement already satisfied: threadpoolctl>=2.0.0 in c:\users\apara\anaconda3\lib\site-packages (from scikit-learn) (3.2.0) Requirement already satisfied: numpy>=1.17.3 in c:\users\apara\anaconda3\lib\site-packages (from scikit-learn) (1.22.1)
import missingno as msno
import json
pd.set_option('display.max_columns', None): This sets the maximum number of columns to display in pandas DataFrames to None, which means all columns will be displayed.
pd.set_option('display.max_rows', None): This sets the maximum number of rows to display in pandas DataFrames to None, which means all rows will be displayed.
warnings.filterwarnings("ignore"): This line suppresses warnings in your code. It filters out warning messages and prevents them from being displayed in the output. It can be useful if you want to hide warnings that may not be relevant or distracting for your specific use case.
# setting no limit on the number of columns & rows displayed
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
#ignoring unnecessary warnings
warnings.filterwarnings("ignore")
#importing all the datsets and assigning respective dataframes
train_df = pd.read_csv('train.csv')
test_df = pd.read_csv('test.csv')
greeks_df = pd.read_csv('greeks.csv')
#checking shape of each dataset
print('Shape of train dataset:', train_df.shape)
print('Shape of test dataset:', test_df.shape)
print('Shape of greeks dataset:', greeks_df.shape)
Shape of train dataset: (617, 58) Shape of test dataset: (5, 57) Shape of greeks dataset: (617, 6)
# Examining the greeks dataset
greeks_df.head()
| Id | Alpha | Beta | Gamma | Delta | Epsilon | |
|---|---|---|---|---|---|---|
| 0 | 000ff2bfdfe9 | B | C | G | D | 3/19/2019 |
| 1 | 007255e47698 | A | C | M | B | Unknown |
| 2 | 013f2bd269f5 | A | C | M | B | Unknown |
| 3 | 043ac50845d5 | A | C | M | B | Unknown |
| 4 | 044fb8a146ec | D | B | F | B | 3/25/2020 |
# Statistical summary of string (object) data in train dataset
greeks_df.describe(include='object').T
| count | unique | top | freq | |
|---|---|---|---|---|
| Id | 617 | 617 | 000ff2bfdfe9 | 1 |
| Alpha | 617 | 4 | A | 509 |
| Beta | 617 | 3 | C | 407 |
| Gamma | 617 | 8 | M | 445 |
| Delta | 617 | 4 | B | 456 |
| Epsilon | 617 | 198 | Unknown | 144 |
# Checking datatypes & null values: greeks dataset
greeks_df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 617 entries, 0 to 616 Data columns (total 6 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Id 617 non-null object 1 Alpha 617 non-null object 2 Beta 617 non-null object 3 Gamma 617 non-null object 4 Delta 617 non-null object 5 Epsilon 617 non-null object dtypes: object(6) memory usage: 29.0+ KB
# Replacing 'unknowns' as null values in greeks dataset
greeks_df = greeks_df.replace("Unknown", pd.NA)
greeks_df.head(8)
| Id | Alpha | Beta | Gamma | Delta | Epsilon | |
|---|---|---|---|---|---|---|
| 0 | 000ff2bfdfe9 | B | C | G | D | 3/19/2019 |
| 1 | 007255e47698 | A | C | M | B | <NA> |
| 2 | 013f2bd269f5 | A | C | M | B | <NA> |
| 3 | 043ac50845d5 | A | C | M | B | <NA> |
| 4 | 044fb8a146ec | D | B | F | B | 3/25/2020 |
| 5 | 04517a3c90bd | A | C | M | B | 10/1/2019 |
| 6 | 049232ca8356 | A | C | M | B | 5/29/2019 |
| 7 | 057287f2da6d | A | C | M | B | 4/24/2019 |
# Calculate missing values for each column (greeks dataset)
print(greeks_df.isnull().sum())
Id 0 Alpha 0 Beta 0 Gamma 0 Delta 0 Epsilon 144 dtype: int64
# Import datatime module to convert the date into number of days
from datetime import datetime
# Converting epsilon column to datatime format
# The errors='coerce' argument is used to handle any values that cannot be converted to datetime format.
# When encountering such values, the 'coerce' option replaces them with *NaT (Not a Time) values*,
# effectively representing missing or invalid dates.
greeks_df['Epsilon'] = pd.to_datetime(greeks_df['Epsilon'], errors='coerce')
greeks_df.head(8)
| Id | Alpha | Beta | Gamma | Delta | Epsilon | |
|---|---|---|---|---|---|---|
| 0 | 000ff2bfdfe9 | B | C | G | D | 2019-03-19 |
| 1 | 007255e47698 | A | C | M | B | NaT |
| 2 | 013f2bd269f5 | A | C | M | B | NaT |
| 3 | 043ac50845d5 | A | C | M | B | NaT |
| 4 | 044fb8a146ec | D | B | F | B | 2020-03-25 |
| 5 | 04517a3c90bd | A | C | M | B | 2019-10-01 |
| 6 | 049232ca8356 | A | C | M | B | 2019-05-29 |
| 7 | 057287f2da6d | A | C | M | B | 2019-04-24 |
# Filling the NaT values with current date
greeks_df['Epsilon'].fillna(pd.to_datetime('today'), inplace=True)
greeks_df.head(8)
| Id | Alpha | Beta | Gamma | Delta | Epsilon | |
|---|---|---|---|---|---|---|
| 0 | 000ff2bfdfe9 | B | C | G | D | 2019-03-19 00:00:00.000000 |
| 1 | 007255e47698 | A | C | M | B | 2023-08-04 17:24:18.033964 |
| 2 | 013f2bd269f5 | A | C | M | B | 2023-08-04 17:24:18.033964 |
| 3 | 043ac50845d5 | A | C | M | B | 2023-08-04 17:24:18.033964 |
| 4 | 044fb8a146ec | D | B | F | B | 2020-03-25 00:00:00.000000 |
| 5 | 04517a3c90bd | A | C | M | B | 2019-10-01 00:00:00.000000 |
| 6 | 049232ca8356 | A | C | M | B | 2019-05-29 00:00:00.000000 |
| 7 | 057287f2da6d | A | C | M | B | 2019-04-24 00:00:00.000000 |
# New column specifying number of days w.r.t most recent date
greeks_df['Days_Epsilon'] = (pd.to_datetime('today') - greeks_df['Epsilon']).dt.days
greeks_df.head(8)
| Id | Alpha | Beta | Gamma | Delta | Epsilon | Days_Epsilon | |
|---|---|---|---|---|---|---|---|
| 0 | 000ff2bfdfe9 | B | C | G | D | 2019-03-19 00:00:00.000000 | 1599 |
| 1 | 007255e47698 | A | C | M | B | 2023-08-04 17:24:18.033964 | 0 |
| 2 | 013f2bd269f5 | A | C | M | B | 2023-08-04 17:24:18.033964 | 0 |
| 3 | 043ac50845d5 | A | C | M | B | 2023-08-04 17:24:18.033964 | 0 |
| 4 | 044fb8a146ec | D | B | F | B | 2020-03-25 00:00:00.000000 | 1227 |
| 5 | 04517a3c90bd | A | C | M | B | 2019-10-01 00:00:00.000000 | 1403 |
| 6 | 049232ca8356 | A | C | M | B | 2019-05-29 00:00:00.000000 | 1528 |
| 7 | 057287f2da6d | A | C | M | B | 2019-04-24 00:00:00.000000 | 1563 |
# Replacing the '0' values in Days_Epsilon' column with median value.
median_days = greeks_df.loc[greeks_df["Days_Epsilon"] != 0, "Days_Epsilon"].median()
greeks_df.loc[greeks_df["Days_Epsilon"] == 0, "Days_Epsilon"] = median_days
greeks_df.head(8)
| Id | Alpha | Beta | Gamma | Delta | Epsilon | Days_Epsilon | |
|---|---|---|---|---|---|---|---|
| 0 | 000ff2bfdfe9 | B | C | G | D | 2019-03-19 00:00:00.000000 | 1599 |
| 1 | 007255e47698 | A | C | M | B | 2023-08-04 17:24:18.033964 | 1467 |
| 2 | 013f2bd269f5 | A | C | M | B | 2023-08-04 17:24:18.033964 | 1467 |
| 3 | 043ac50845d5 | A | C | M | B | 2023-08-04 17:24:18.033964 | 1467 |
| 4 | 044fb8a146ec | D | B | F | B | 2020-03-25 00:00:00.000000 | 1227 |
| 5 | 04517a3c90bd | A | C | M | B | 2019-10-01 00:00:00.000000 | 1403 |
| 6 | 049232ca8356 | A | C | M | B | 2019-05-29 00:00:00.000000 | 1528 |
| 7 | 057287f2da6d | A | C | M | B | 2019-04-24 00:00:00.000000 | 1563 |
# Greeks dataset with selected columns (dropping epsilon column)
greeks_df = greeks_df[['Id', 'Alpha', 'Beta', 'Gamma', 'Delta', 'Days_Epsilon']]
greeks_df.head(8)
| Id | Alpha | Beta | Gamma | Delta | Days_Epsilon | |
|---|---|---|---|---|---|---|
| 0 | 000ff2bfdfe9 | B | C | G | D | 1599 |
| 1 | 007255e47698 | A | C | M | B | 1467 |
| 2 | 013f2bd269f5 | A | C | M | B | 1467 |
| 3 | 043ac50845d5 | A | C | M | B | 1467 |
| 4 | 044fb8a146ec | D | B | F | B | 1227 |
| 5 | 04517a3c90bd | A | C | M | B | 1403 |
| 6 | 049232ca8356 | A | C | M | B | 1528 |
| 7 | 057287f2da6d | A | C | M | B | 1563 |
# Checking missing values for each column (greeks dataset)
print(greeks_df.isnull().sum())
Id 0 Alpha 0 Beta 0 Gamma 0 Delta 0 Days_Epsilon 0 dtype: int64
# Check for duplicate rows in the DataFrame (greeks dataset)
duplicates_g = greeks_df.duplicated()
# Count the number of duplicate rows
num_duplicates_g = duplicates_g.sum()
# Print the duplicate rows and the count
print("Duplicate Rows:")
print(f"Number of Duplicate Rows: {num_duplicates_g}")
Duplicate Rows: Number of Duplicate Rows: 0
# Statistical summary of numerical data in train dataset
greeks_df.describe()
| Days_Epsilon | |
|---|---|
| count | 617.000000 |
| mean | 1444.727715 |
| std | 327.708609 |
| min | 1039.000000 |
| 25% | 1192.000000 |
| 50% | 1467.000000 |
| 75% | 1563.000000 |
| max | 4096.000000 |
# One-hot encoding for the categorical coulmns for the Greeks dataset
# (One-hot encoding because it has nominal variables without an inherent order)
one_hot_encoded_greeks_df = pd.get_dummies(greeks_df, columns=['Alpha', 'Beta', 'Gamma', 'Delta'])
one_hot_encoded_greeks_df.head(8)
| Id | Days_Epsilon | Alpha_A | Alpha_B | Alpha_D | Alpha_G | Beta_A | Beta_B | Beta_C | Gamma_A | Gamma_B | Gamma_E | Gamma_F | Gamma_G | Gamma_H | Gamma_M | Gamma_N | Delta_A | Delta_B | Delta_C | Delta_D | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 000ff2bfdfe9 | 1599 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 1 | 007255e47698 | 1467 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 2 | 013f2bd269f5 | 1467 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 3 | 043ac50845d5 | 1467 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 4 | 044fb8a146ec | 1227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 5 | 04517a3c90bd | 1403 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 6 | 049232ca8356 | 1528 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 7 | 057287f2da6d | 1563 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
# Now greeks dataset has all the numerical columns except 'id'
greeks_df = one_hot_encoded_greeks_df
greeks_df.head(8)
| Id | Days_Epsilon | Alpha_A | Alpha_B | Alpha_D | Alpha_G | Beta_A | Beta_B | Beta_C | Gamma_A | Gamma_B | Gamma_E | Gamma_F | Gamma_G | Gamma_H | Gamma_M | Gamma_N | Delta_A | Delta_B | Delta_C | Delta_D | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 000ff2bfdfe9 | 1599 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 1 | 007255e47698 | 1467 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 2 | 013f2bd269f5 | 1467 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 3 | 043ac50845d5 | 1467 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 4 | 044fb8a146ec | 1227 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 5 | 04517a3c90bd | 1403 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 6 | 049232ca8356 | 1528 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| 7 | 057287f2da6d | 1563 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
# Examining the train dataset
train_df.head()
| Id | AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EJ | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | Class | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 000ff2bfdfe9 | 0.209377 | 3109.03329 | 85.200147 | 22.394407 | 8.138688 | 0.699861 | 0.025578 | 9.812214 | 5.555634 | 4126.58731 | 22.5984 | 175.638726 | 152.707705 | 823.928241 | 257.432377 | 47.223358 | 0.563481 | 23.387600 | 4.851915 | 0.023482 | 1.050225 | 0.069225 | 13.784111 | 1.302012 | 36.205956 | 69.08340 | 295.570575 | 0.23868 | 0.284232 | 89.245560 | 84.31664 | 29.657104 | 5.310690 | 1.74307 | 23.187704 | 7.294176 | 1.987283 | 1433.166750 | 0.949104 | B | 30.879420 | 78.526968 | 3.828384 | 13.394640 | 10.265073 | 9028.291921 | 3.583450 | 7.298162 | 1.73855 | 0.094822 | 11.339138 | 72.611063 | 2003.810319 | 22.136229 | 69.834944 | 0.120343 | 1 |
| 1 | 007255e47698 | 0.145282 | 978.76416 | 85.200147 | 36.968889 | 8.138688 | 3.632190 | 0.025578 | 13.517790 | 1.229900 | 5496.92824 | 19.4205 | 155.868030 | 14.754720 | 51.216883 | 257.432377 | 30.284345 | 0.484710 | 50.628208 | 6.085041 | 0.031442 | 1.113875 | 1.117800 | 28.310953 | 1.357182 | 37.476568 | 70.79836 | 178.553100 | 0.23868 | 0.363489 | 110.581815 | 75.74548 | 37.532000 | 0.005518 | 1.74307 | 17.222328 | 4.926396 | 0.858603 | 1111.287150 | 0.003042 | A | 109.125159 | 95.415086 | 52.260480 | 17.175984 | 0.296850 | 6785.003474 | 10.358927 | 0.173229 | 0.49706 | 0.568932 | 9.292698 | 72.611063 | 27981.562750 | 29.135430 | 32.131996 | 21.978000 | 0 |
| 2 | 013f2bd269f5 | 0.470030 | 2635.10654 | 85.200147 | 32.360553 | 8.138688 | 6.732840 | 0.025578 | 12.824570 | 1.229900 | 5135.78024 | 26.4825 | 128.988531 | 219.320160 | 482.141594 | 257.432377 | 32.563713 | 0.495852 | 85.955376 | 5.376488 | 0.036218 | 1.050225 | 0.700350 | 39.364743 | 1.009611 | 21.459644 | 70.81970 | 321.426625 | 0.23868 | 0.210441 | 120.056438 | 65.46984 | 28.053464 | 1.289739 | 1.74307 | 36.861352 | 7.813674 | 8.146651 | 1494.076488 | 0.377208 | B | 109.125159 | 78.526968 | 5.390628 | 224.207424 | 8.745201 | 8338.906181 | 11.626917 | 7.709560 | 0.97556 | 1.198821 | 37.077772 | 88.609437 | 13676.957810 | 28.022851 | 35.192676 | 0.196941 | 0 |
| 3 | 043ac50845d5 | 0.252107 | 3819.65177 | 120.201618 | 77.112203 | 8.138688 | 3.685344 | 0.025578 | 11.053708 | 1.229900 | 4169.67738 | 23.6577 | 237.282264 | 11.050410 | 661.518640 | 257.432377 | 15.201914 | 0.717882 | 88.159360 | 2.347652 | 0.029054 | 1.400300 | 0.636075 | 41.116960 | 0.722727 | 21.530392 | 47.27586 | 196.607985 | 0.23868 | 0.292431 | 139.824570 | 71.57120 | 24.354856 | 2.655345 | 1.74307 | 52.003884 | 7.386060 | 3.813326 | 15691.552180 | 0.614484 | B | 31.674357 | 78.526968 | 31.323372 | 59.301984 | 7.884336 | 10965.766040 | 14.852022 | 6.122162 | 0.49706 | 0.284466 | 18.529584 | 82.416803 | 2094.262452 | 39.948656 | 90.493248 | 0.155829 | 0 |
| 4 | 044fb8a146ec | 0.380297 | 3733.04844 | 85.200147 | 14.103738 | 8.138688 | 3.942255 | 0.054810 | 3.396778 | 102.151980 | 5728.73412 | 24.0108 | 324.546318 | 149.717165 | 6074.859475 | 257.432377 | 82.213495 | 0.536467 | 72.644264 | 30.537722 | 0.025472 | 1.050225 | 0.693150 | 31.724726 | 0.827550 | 34.415360 | 74.06532 | 200.178160 | 0.23868 | 0.207708 | 97.920120 | 52.83888 | 26.019912 | 1.144902 | 1.74307 | 9.064856 | 7.350720 | 3.490846 | 1403.656300 | 0.164268 | B | 109.125159 | 91.994825 | 51.141336 | 29.102640 | 4.274640 | 16198.049590 | 13.666727 | 8.153058 | 48.50134 | 0.121914 | 16.408728 | 146.109943 | 8524.370502 | 45.381316 | 36.262628 | 0.096614 | 1 |
# Statistical summary of numerical data in train dataset
train_df.describe().T
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| AB | 617.0 | 0.477149 | 0.468388 | 0.081187 | 0.252107 | 0.354659 | 0.559763 | 6.161666 |
| AF | 617.0 | 3502.013221 | 2300.322717 | 192.593280 | 2197.345480 | 3120.318960 | 4361.637390 | 28688.187660 |
| AH | 617.0 | 118.624513 | 127.838950 | 85.200147 | 85.200147 | 85.200147 | 113.739540 | 1910.123198 |
| AM | 617.0 | 38.968552 | 69.728226 | 3.177522 | 12.270314 | 20.533110 | 39.139886 | 630.518230 |
| AR | 617.0 | 10.128242 | 10.518877 | 8.138688 | 8.138688 | 8.138688 | 8.138688 | 178.943634 |
| AX | 617.0 | 5.545576 | 2.551696 | 0.699861 | 4.128294 | 5.031912 | 6.431634 | 38.270880 |
| AY | 617.0 | 0.060320 | 0.416817 | 0.025578 | 0.025578 | 0.025578 | 0.036845 | 10.315851 |
| AZ | 617.0 | 10.566447 | 4.350645 | 3.396778 | 8.129580 | 10.461320 | 12.969516 | 38.971568 |
| BC | 617.0 | 8.053012 | 65.166943 | 1.229900 | 1.229900 | 1.229900 | 5.081244 | 1463.693448 |
| BD | 617.0 | 5350.388655 | 3021.326641 | 1693.624320 | 4155.702870 | 4997.960730 | 6035.885700 | 53060.599240 |
| BN | 617.0 | 21.419492 | 3.478278 | 9.886800 | 19.420500 | 21.186000 | 23.657700 | 29.307300 |
| BP | 617.0 | 231.322223 | 183.992505 | 72.948951 | 156.847239 | 193.908816 | 247.803462 | 2447.810550 |
| BQ | 557.0 | 98.328737 | 96.479371 | 1.331155 | 27.834425 | 61.642115 | 134.009015 | 344.644105 |
| BR | 617.0 | 1218.133238 | 7575.293707 | 51.216883 | 424.990642 | 627.417402 | 975.649259 | 179250.252900 |
| BZ | 617.0 | 550.632525 | 2076.371275 | 257.432377 | 257.432377 | 257.432377 | 257.432377 | 50092.459300 |
| CB | 615.0 | 77.104151 | 159.049302 | 12.499760 | 23.317567 | 42.554330 | 77.310097 | 2271.436167 |
| CC | 614.0 | 0.688801 | 0.263994 | 0.176874 | 0.563688 | 0.658715 | 0.772206 | 4.103032 |
| CD | 617.0 | 90.251735 | 51.585130 | 23.387600 | 64.724192 | 79.819104 | 99.813520 | 633.534408 |
| CF | 617.0 | 11.241064 | 13.571133 | 0.510888 | 5.066306 | 9.123000 | 13.565901 | 200.967526 |
| CH | 617.0 | 0.030615 | 0.014808 | 0.003184 | 0.023482 | 0.027860 | 0.034427 | 0.224074 |
| CL | 617.0 | 1.403761 | 1.922210 | 1.050225 | 1.050225 | 1.050225 | 1.228445 | 31.688153 |
| CR | 617.0 | 0.742262 | 0.281195 | 0.069225 | 0.589575 | 0.730800 | 0.859350 | 3.039675 |
| CS | 617.0 | 36.917590 | 17.266347 | 13.784111 | 29.782467 | 34.835130 | 40.529401 | 267.942823 |
| CU | 617.0 | 1.383792 | 0.538717 | 0.137925 | 1.070298 | 1.351665 | 1.660617 | 4.951507 |
| CW | 617.0 | 27.165653 | 14.645993 | 7.030640 | 7.030640 | 36.019104 | 37.935832 | 64.521624 |
| DA | 617.0 | 51.128326 | 21.210888 | 6.906400 | 37.942520 | 49.180940 | 61.408760 | 210.330920 |
| DE | 617.0 | 401.901299 | 317.745623 | 35.998895 | 188.815690 | 307.509595 | 507.896200 | 2103.405190 |
| DF | 617.0 | 0.633884 | 1.912384 | 0.238680 | 0.238680 | 0.238680 | 0.238680 | 37.895013 |
| DH | 617.0 | 0.367002 | 0.112989 | 0.040995 | 0.295164 | 0.358023 | 0.426348 | 1.060404 |
| DI | 617.0 | 146.972099 | 86.084419 | 60.232470 | 102.703553 | 130.050630 | 165.836955 | 1049.168078 |
| DL | 617.0 | 94.795377 | 28.243187 | 10.345600 | 78.232240 | 96.264960 | 110.640680 | 326.236200 |
| DN | 617.0 | 26.370568 | 8.038825 | 6.339496 | 20.888264 | 25.248800 | 30.544224 | 62.808096 |
| DU | 616.0 | 1.802900 | 9.034721 | 0.005518 | 0.005518 | 0.251741 | 1.058690 | 161.355315 |
| DV | 617.0 | 1.924830 | 1.484555 | 1.743070 | 1.743070 | 1.743070 | 1.743070 | 25.192930 |
| DY | 617.0 | 26.388989 | 18.116679 | 0.804068 | 14.715792 | 21.642456 | 34.058344 | 152.355164 |
| EB | 617.0 | 9.072700 | 6.200281 | 4.926396 | 5.965392 | 8.149404 | 10.503048 | 94.958580 |
| EE | 617.0 | 3.064778 | 2.058344 | 0.286201 | 1.648679 | 2.616119 | 3.910070 | 18.324926 |
| EG | 617.0 | 1731.248215 | 1790.227476 | 185.594100 | 1111.160625 | 1493.817413 | 1905.701475 | 30243.758780 |
| EH | 617.0 | 0.305107 | 1.847499 | 0.003042 | 0.003042 | 0.085176 | 0.237276 | 42.569748 |
| EL | 557.0 | 69.582596 | 38.555707 | 5.394675 | 30.927468 | 71.949306 | 109.125159 | 109.125159 |
| EP | 617.0 | 105.060712 | 68.445620 | 78.526968 | 78.526968 | 78.526968 | 112.766654 | 1063.594578 |
| EU | 617.0 | 69.117005 | 390.187057 | 3.828384 | 4.324656 | 22.641144 | 49.085352 | 6501.264480 |
| FC | 616.0 | 71.341526 | 165.551545 | 7.534128 | 25.815384 | 36.394008 | 56.714448 | 3030.655824 |
| FD | 617.0 | 6.930086 | 64.754262 | 0.296850 | 0.296850 | 1.870155 | 4.880214 | 1578.654237 |
| FE | 617.0 | 10306.810737 | 11331.294051 | 1563.136688 | 5164.666260 | 7345.143424 | 10647.951650 | 143224.682300 |
| FI | 617.0 | 10.111079 | 2.934025 | 3.583450 | 8.523098 | 9.945452 | 11.516657 | 35.851039 |
| FL | 616.0 | 5.433199 | 11.496257 | 0.173229 | 0.173229 | 3.028141 | 6.238814 | 137.932739 |
| FR | 617.0 | 3.533905 | 50.181948 | 0.497060 | 0.497060 | 1.131000 | 1.512060 | 1244.227020 |
| FS | 615.0 | 0.421501 | 1.305365 | 0.067730 | 0.067730 | 0.250601 | 0.535067 | 31.365763 |
| GB | 617.0 | 20.724856 | 9.991907 | 4.102182 | 14.036718 | 18.771436 | 25.608406 | 135.781294 |
| GE | 617.0 | 131.714987 | 144.181524 | 72.611063 | 72.611063 | 72.611063 | 127.591671 | 1497.351958 |
| GF | 617.0 | 14679.595398 | 19352.959387 | 13.038894 | 2798.992584 | 7838.273610 | 19035.709240 | 143790.071200 |
| GH | 617.0 | 31.489716 | 9.864239 | 9.432735 | 25.034888 | 30.608946 | 36.863947 | 81.210825 |
| GI | 617.0 | 50.584437 | 36.266251 | 0.897628 | 23.011684 | 41.007968 | 67.931664 | 191.194764 |
| GL | 616.0 | 8.530961 | 10.327010 | 0.001129 | 0.124392 | 0.337827 | 21.978000 | 21.978000 |
| Class | 617.0 | 0.175041 | 0.380310 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.000000 |
# Statistical summary of string (object) data in train dataset
train_df.describe(include='object').T
| count | unique | top | freq | |
|---|---|---|---|---|
| Id | 617 | 617 | 000ff2bfdfe9 | 1 |
| EJ | 617 | 2 | B | 395 |
train_df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 617 entries, 0 to 616 Data columns (total 58 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Id 617 non-null object 1 AB 617 non-null float64 2 AF 617 non-null float64 3 AH 617 non-null float64 4 AM 617 non-null float64 5 AR 617 non-null float64 6 AX 617 non-null float64 7 AY 617 non-null float64 8 AZ 617 non-null float64 9 BC 617 non-null float64 10 BD 617 non-null float64 11 BN 617 non-null float64 12 BP 617 non-null float64 13 BQ 557 non-null float64 14 BR 617 non-null float64 15 BZ 617 non-null float64 16 CB 615 non-null float64 17 CC 614 non-null float64 18 CD 617 non-null float64 19 CF 617 non-null float64 20 CH 617 non-null float64 21 CL 617 non-null float64 22 CR 617 non-null float64 23 CS 617 non-null float64 24 CU 617 non-null float64 25 CW 617 non-null float64 26 DA 617 non-null float64 27 DE 617 non-null float64 28 DF 617 non-null float64 29 DH 617 non-null float64 30 DI 617 non-null float64 31 DL 617 non-null float64 32 DN 617 non-null float64 33 DU 616 non-null float64 34 DV 617 non-null float64 35 DY 617 non-null float64 36 EB 617 non-null float64 37 EE 617 non-null float64 38 EG 617 non-null float64 39 EH 617 non-null float64 40 EJ 617 non-null object 41 EL 557 non-null float64 42 EP 617 non-null float64 43 EU 617 non-null float64 44 FC 616 non-null float64 45 FD 617 non-null float64 46 FE 617 non-null float64 47 FI 617 non-null float64 48 FL 616 non-null float64 49 FR 617 non-null float64 50 FS 615 non-null float64 51 GB 617 non-null float64 52 GE 617 non-null float64 53 GF 617 non-null float64 54 GH 617 non-null float64 55 GI 617 non-null float64 56 GL 616 non-null float64 57 Class 617 non-null int64 dtypes: float64(55), int64(1), object(2) memory usage: 279.7+ KB
# Bar graph representing the null values:
msno.bar(train_df, figsize = (10, 20), fontsize = 8, sort='ascending', color = "#333366",label_rotation=0)
<Axes: >
# Calculate missing values for each column
missing_values = train_df.isnull().sum()
missing_train = missing_values[missing_values > 0]
# Print columns with missing values
print(missing_train)
BQ 60 CB 2 CC 3 DU 1 EL 60 FC 1 FL 1 FS 2 GL 1 dtype: int64
import pandas as pd
from sklearn.impute import KNNImputer
# Assuming train_df is your DataFrame with missing values
# Separate numerical and categorical columns
numerical_columns = train_df.select_dtypes(include='number').columns
categorical_columns = train_df.select_dtypes(include='object').columns
# Impute missing values in numerical columns using KNN imputer
knn_imputer = KNNImputer(n_neighbors=5) # You can adjust the value of n_neighbors as per your needs
imputed_numerical_data = knn_imputer.fit_transform(train_df[numerical_columns])
imputed_numerical_df = pd.DataFrame(imputed_numerical_data, columns=numerical_columns)
# Impute missing values in categorical columns with the most frequent value
categorical_imputer = SimpleImputer(strategy='most_frequent')
imputed_categorical_data = categorical_imputer.fit_transform(train_df[categorical_columns])
imputed_categorical_df = pd.DataFrame(imputed_categorical_data, columns=categorical_columns)
# Combine the imputed numerical and categorical DataFrames
imputed_train_df = pd.concat([imputed_numerical_df, imputed_categorical_df], axis=1)
#checking the missing values (deleted later on)
imputed_train_df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 617 entries, 0 to 616 Data columns (total 58 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 AB 617 non-null float64 1 AF 617 non-null float64 2 AH 617 non-null float64 3 AM 617 non-null float64 4 AR 617 non-null float64 5 AX 617 non-null float64 6 AY 617 non-null float64 7 AZ 617 non-null float64 8 BC 617 non-null float64 9 BD 617 non-null float64 10 BN 617 non-null float64 11 BP 617 non-null float64 12 BQ 617 non-null float64 13 BR 617 non-null float64 14 BZ 617 non-null float64 15 CB 617 non-null float64 16 CC 617 non-null float64 17 CD 617 non-null float64 18 CF 617 non-null float64 19 CH 617 non-null float64 20 CL 617 non-null float64 21 CR 617 non-null float64 22 CS 617 non-null float64 23 CU 617 non-null float64 24 CW 617 non-null float64 25 DA 617 non-null float64 26 DE 617 non-null float64 27 DF 617 non-null float64 28 DH 617 non-null float64 29 DI 617 non-null float64 30 DL 617 non-null float64 31 DN 617 non-null float64 32 DU 617 non-null float64 33 DV 617 non-null float64 34 DY 617 non-null float64 35 EB 617 non-null float64 36 EE 617 non-null float64 37 EG 617 non-null float64 38 EH 617 non-null float64 39 EL 617 non-null float64 40 EP 617 non-null float64 41 EU 617 non-null float64 42 FC 617 non-null float64 43 FD 617 non-null float64 44 FE 617 non-null float64 45 FI 617 non-null float64 46 FL 617 non-null float64 47 FR 617 non-null float64 48 FS 617 non-null float64 49 GB 617 non-null float64 50 GE 617 non-null float64 51 GF 617 non-null float64 52 GH 617 non-null float64 53 GI 617 non-null float64 54 GL 617 non-null float64 55 Class 617 non-null float64 56 Id 617 non-null object 57 EJ 617 non-null object dtypes: float64(56), object(2) memory usage: 279.7+ KB
# Calculate missing values for each column
missing_values = imputed_train_df.isnull().sum()
missing_train = missing_values[missing_values > 0]
# Print columns with missing values
print(missing_train)
Series([], dtype: int64)
# Checking the imputed dataframe of train dataset
imputed_train_df.head()
| AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | Class | Id | EJ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.209377 | 3109.03329 | 85.200147 | 22.394407 | 8.138688 | 0.699861 | 0.025578 | 9.812214 | 5.555634 | 4126.58731 | 22.5984 | 175.638726 | 152.707705 | 823.928241 | 257.432377 | 47.223358 | 0.563481 | 23.387600 | 4.851915 | 0.023482 | 1.050225 | 0.069225 | 13.784111 | 1.302012 | 36.205956 | 69.08340 | 295.570575 | 0.23868 | 0.284232 | 89.245560 | 84.31664 | 29.657104 | 5.310690 | 1.74307 | 23.187704 | 7.294176 | 1.987283 | 1433.166750 | 0.949104 | 30.879420 | 78.526968 | 3.828384 | 13.394640 | 10.265073 | 9028.291921 | 3.583450 | 7.298162 | 1.73855 | 0.094822 | 11.339138 | 72.611063 | 2003.810319 | 22.136229 | 69.834944 | 0.120343 | 1.0 | 000ff2bfdfe9 | B |
| 1 | 0.145282 | 978.76416 | 85.200147 | 36.968889 | 8.138688 | 3.632190 | 0.025578 | 13.517790 | 1.229900 | 5496.92824 | 19.4205 | 155.868030 | 14.754720 | 51.216883 | 257.432377 | 30.284345 | 0.484710 | 50.628208 | 6.085041 | 0.031442 | 1.113875 | 1.117800 | 28.310953 | 1.357182 | 37.476568 | 70.79836 | 178.553100 | 0.23868 | 0.363489 | 110.581815 | 75.74548 | 37.532000 | 0.005518 | 1.74307 | 17.222328 | 4.926396 | 0.858603 | 1111.287150 | 0.003042 | 109.125159 | 95.415086 | 52.260480 | 17.175984 | 0.296850 | 6785.003474 | 10.358927 | 0.173229 | 0.49706 | 0.568932 | 9.292698 | 72.611063 | 27981.562750 | 29.135430 | 32.131996 | 21.978000 | 0.0 | 007255e47698 | A |
| 2 | 0.470030 | 2635.10654 | 85.200147 | 32.360553 | 8.138688 | 6.732840 | 0.025578 | 12.824570 | 1.229900 | 5135.78024 | 26.4825 | 128.988531 | 219.320160 | 482.141594 | 257.432377 | 32.563713 | 0.495852 | 85.955376 | 5.376488 | 0.036218 | 1.050225 | 0.700350 | 39.364743 | 1.009611 | 21.459644 | 70.81970 | 321.426625 | 0.23868 | 0.210441 | 120.056438 | 65.46984 | 28.053464 | 1.289739 | 1.74307 | 36.861352 | 7.813674 | 8.146651 | 1494.076488 | 0.377208 | 109.125159 | 78.526968 | 5.390628 | 224.207424 | 8.745201 | 8338.906181 | 11.626917 | 7.709560 | 0.97556 | 1.198821 | 37.077772 | 88.609437 | 13676.957810 | 28.022851 | 35.192676 | 0.196941 | 0.0 | 013f2bd269f5 | B |
| 3 | 0.252107 | 3819.65177 | 120.201618 | 77.112203 | 8.138688 | 3.685344 | 0.025578 | 11.053708 | 1.229900 | 4169.67738 | 23.6577 | 237.282264 | 11.050410 | 661.518640 | 257.432377 | 15.201914 | 0.717882 | 88.159360 | 2.347652 | 0.029054 | 1.400300 | 0.636075 | 41.116960 | 0.722727 | 21.530392 | 47.27586 | 196.607985 | 0.23868 | 0.292431 | 139.824570 | 71.57120 | 24.354856 | 2.655345 | 1.74307 | 52.003884 | 7.386060 | 3.813326 | 15691.552180 | 0.614484 | 31.674357 | 78.526968 | 31.323372 | 59.301984 | 7.884336 | 10965.766040 | 14.852022 | 6.122162 | 0.49706 | 0.284466 | 18.529584 | 82.416803 | 2094.262452 | 39.948656 | 90.493248 | 0.155829 | 0.0 | 043ac50845d5 | B |
| 4 | 0.380297 | 3733.04844 | 85.200147 | 14.103738 | 8.138688 | 3.942255 | 0.054810 | 3.396778 | 102.151980 | 5728.73412 | 24.0108 | 324.546318 | 149.717165 | 6074.859475 | 257.432377 | 82.213495 | 0.536467 | 72.644264 | 30.537722 | 0.025472 | 1.050225 | 0.693150 | 31.724726 | 0.827550 | 34.415360 | 74.06532 | 200.178160 | 0.23868 | 0.207708 | 97.920120 | 52.83888 | 26.019912 | 1.144902 | 1.74307 | 9.064856 | 7.350720 | 3.490846 | 1403.656300 | 0.164268 | 109.125159 | 91.994825 | 51.141336 | 29.102640 | 4.274640 | 16198.049590 | 13.666727 | 8.153058 | 48.50134 | 0.121914 | 16.408728 | 146.109943 | 8524.370502 | 45.381316 | 36.262628 | 0.096614 | 1.0 | 044fb8a146ec | B |
# Assign the new DataFrame with imputed values to train_df
train_df = imputed_train_df
# Check for duplicate rows in the DataFrame
duplicates_tr = train_df.duplicated()
# Count the number of duplicate rows
num_duplicates = duplicates_tr.sum()
# Print the duplicate rows and the count
print("Duplicate Rows:")
print(f"Number of Duplicate Rows: {num_duplicates}")
Duplicate Rows: Number of Duplicate Rows: 0
# Assigning columns according to datatypes.
numerical_variables = train_df.select_dtypes(exclude='object').columns
categorical_variables = train_df.select_dtypes(include='object').columns
print ('Numerical columns of train dataset:', numerical_variables)
print ('Categorical columns of train dataset:', categorical_variables)
Numerical columns of train dataset: Index(['AB', 'AF', 'AH', 'AM', 'AR', 'AX', 'AY', 'AZ', 'BC', 'BD ', 'BN', 'BP',
'BQ', 'BR', 'BZ', 'CB', 'CC', 'CD ', 'CF', 'CH', 'CL', 'CR', 'CS', 'CU',
'CW ', 'DA', 'DE', 'DF', 'DH', 'DI', 'DL', 'DN', 'DU', 'DV', 'DY', 'EB',
'EE', 'EG', 'EH', 'EL', 'EP', 'EU', 'FC', 'FD ', 'FE', 'FI', 'FL', 'FR',
'FS', 'GB', 'GE', 'GF', 'GH', 'GI', 'GL', 'Class'],
dtype='object')
Categorical columns of train dataset: Index(['Id', 'EJ'], dtype='object')
# Plotting box plots using plotly.express
def create_boxplot(data,x,y):
fig = px.box(data, x=x, y=y, color = x, title = f"Box Plots\n{x} vs {y}")
fig.show()
for feature in numerical_variables:
create_boxplot(data=train_df,y=feature,x="Class")
# Distribution plot of each feature of train dataset:
# Number of features to plot
num_plots = len(numerical_variables)
# Calculate the number of rows needed based on the number of plots
num_rows = (num_plots + 4) // 3
# Create a figure and a grid of subplots
fig, ax = plt.subplots(num_rows, 3, figsize=(10, num_rows * 2), dpi=200)
# Flatten the subplot grid into a 1-dimensional array
ax = ax.flatten()
for i, column in enumerate(numerical_variables):
if i < num_plots: # Only plot if there are available subplots
sns.kdeplot(train_df[column], ax=ax[i], color="#333366")
# Set the subplot title
ax[i].set_title(f'{column} Distribution', size=8)
# Set the main title for the figure
fig.suptitle('Distribution of Feature\n\n', fontsize=20, fontweight='bold')
plt.tight_layout()
num_plots = len(numerical_variables) # Number of features to plot
num_rows = (num_plots + 4) // 5 # Calculate the number of rows needed based on the number of plots
# Create a figure and a grid of subplots
fig, ax = plt.subplots(num_rows, 5, figsize=(10, num_rows * 2), dpi=200)
ax = ax.flatten() # Flatten the subplot grid into a 1-dimensional array
for i, column in enumerate(numerical_variables):
if i < num_plots: # Only plot if there are available subplots
ax[i].hist(train_df[column], color="#333366", bins=20)
ax[i].set_title(f'{column} Distribution', size=8) # Set the subplot title
fig.suptitle('Distribution of Features\n\n', fontsize=20, fontweight='bold') # Set the main title for the figure
plt.tight_layout() # Adjust the spacing between subplots
train_df.head(8)
| AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | Class | Id | EJ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.209377 | 3109.03329 | 85.200147 | 22.394407 | 8.138688 | 0.699861 | 0.025578 | 9.812214 | 5.555634 | 4126.58731 | 22.5984 | 175.638726 | 152.707705 | 823.928241 | 257.432377 | 47.223358 | 0.563481 | 23.387600 | 4.851915 | 0.023482 | 1.050225 | 0.069225 | 13.784111 | 1.302012 | 36.205956 | 69.08340 | 295.570575 | 0.238680 | 0.284232 | 89.245560 | 84.31664 | 29.657104 | 5.310690 | 1.74307 | 23.187704 | 7.294176 | 1.987283 | 1433.166750 | 0.949104 | 30.879420 | 78.526968 | 3.828384 | 13.394640 | 10.265073 | 9028.291921 | 3.583450 | 7.298162 | 1.73855 | 0.094822 | 11.339138 | 72.611063 | 2003.810319 | 22.136229 | 69.834944 | 0.120343 | 1.0 | 000ff2bfdfe9 | B |
| 1 | 0.145282 | 978.76416 | 85.200147 | 36.968889 | 8.138688 | 3.632190 | 0.025578 | 13.517790 | 1.229900 | 5496.92824 | 19.4205 | 155.868030 | 14.754720 | 51.216883 | 257.432377 | 30.284345 | 0.484710 | 50.628208 | 6.085041 | 0.031442 | 1.113875 | 1.117800 | 28.310953 | 1.357182 | 37.476568 | 70.79836 | 178.553100 | 0.238680 | 0.363489 | 110.581815 | 75.74548 | 37.532000 | 0.005518 | 1.74307 | 17.222328 | 4.926396 | 0.858603 | 1111.287150 | 0.003042 | 109.125159 | 95.415086 | 52.260480 | 17.175984 | 0.296850 | 6785.003474 | 10.358927 | 0.173229 | 0.49706 | 0.568932 | 9.292698 | 72.611063 | 27981.562750 | 29.135430 | 32.131996 | 21.978000 | 0.0 | 007255e47698 | A |
| 2 | 0.470030 | 2635.10654 | 85.200147 | 32.360553 | 8.138688 | 6.732840 | 0.025578 | 12.824570 | 1.229900 | 5135.78024 | 26.4825 | 128.988531 | 219.320160 | 482.141594 | 257.432377 | 32.563713 | 0.495852 | 85.955376 | 5.376488 | 0.036218 | 1.050225 | 0.700350 | 39.364743 | 1.009611 | 21.459644 | 70.81970 | 321.426625 | 0.238680 | 0.210441 | 120.056438 | 65.46984 | 28.053464 | 1.289739 | 1.74307 | 36.861352 | 7.813674 | 8.146651 | 1494.076488 | 0.377208 | 109.125159 | 78.526968 | 5.390628 | 224.207424 | 8.745201 | 8338.906181 | 11.626917 | 7.709560 | 0.97556 | 1.198821 | 37.077772 | 88.609437 | 13676.957810 | 28.022851 | 35.192676 | 0.196941 | 0.0 | 013f2bd269f5 | B |
| 3 | 0.252107 | 3819.65177 | 120.201618 | 77.112203 | 8.138688 | 3.685344 | 0.025578 | 11.053708 | 1.229900 | 4169.67738 | 23.6577 | 237.282264 | 11.050410 | 661.518640 | 257.432377 | 15.201914 | 0.717882 | 88.159360 | 2.347652 | 0.029054 | 1.400300 | 0.636075 | 41.116960 | 0.722727 | 21.530392 | 47.27586 | 196.607985 | 0.238680 | 0.292431 | 139.824570 | 71.57120 | 24.354856 | 2.655345 | 1.74307 | 52.003884 | 7.386060 | 3.813326 | 15691.552180 | 0.614484 | 31.674357 | 78.526968 | 31.323372 | 59.301984 | 7.884336 | 10965.766040 | 14.852022 | 6.122162 | 0.49706 | 0.284466 | 18.529584 | 82.416803 | 2094.262452 | 39.948656 | 90.493248 | 0.155829 | 0.0 | 043ac50845d5 | B |
| 4 | 0.380297 | 3733.04844 | 85.200147 | 14.103738 | 8.138688 | 3.942255 | 0.054810 | 3.396778 | 102.151980 | 5728.73412 | 24.0108 | 324.546318 | 149.717165 | 6074.859475 | 257.432377 | 82.213495 | 0.536467 | 72.644264 | 30.537722 | 0.025472 | 1.050225 | 0.693150 | 31.724726 | 0.827550 | 34.415360 | 74.06532 | 200.178160 | 0.238680 | 0.207708 | 97.920120 | 52.83888 | 26.019912 | 1.144902 | 1.74307 | 9.064856 | 7.350720 | 3.490846 | 1403.656300 | 0.164268 | 109.125159 | 91.994825 | 51.141336 | 29.102640 | 4.274640 | 16198.049590 | 13.666727 | 8.153058 | 48.50134 | 0.121914 | 16.408728 | 146.109943 | 8524.370502 | 45.381316 | 36.262628 | 0.096614 | 1.0 | 044fb8a146ec | B |
| 5 | 0.209377 | 2615.81430 | 85.200147 | 8.541526 | 8.138688 | 4.013127 | 0.025578 | 12.547282 | 1.229900 | 5237.54088 | 10.2399 | 148.487931 | 16.526120 | 642.325163 | 257.432377 | 18.382000 | 0.639460 | 80.667400 | 14.688030 | 0.016716 | 1.050225 | 0.857625 | 32.456996 | 1.390284 | 7.030640 | 55.22404 | 135.489250 | 0.238680 | 0.478275 | 135.317865 | 81.46312 | 31.731600 | 0.005518 | 1.74307 | 16.773128 | 4.926396 | 2.394414 | 866.382950 | 0.003042 | 109.125159 | 78.526968 | 3.828384 | 23.304960 | 0.296850 | 8517.278846 | 10.981896 | 0.173229 | 0.49706 | 1.164956 | 21.915512 | 72.611063 | 24177.595550 | 28.525186 | 82.527764 | 21.978000 | 0.0 | 04517a3c90bd | A |
| 6 | 0.348249 | 1733.65412 | 85.200147 | 8.377385 | 15.312480 | 1.913544 | 0.025578 | 6.547778 | 1.229900 | 5710.46099 | 17.6550 | 143.646993 | 344.644105 | 719.725142 | 257.432377 | 38.455144 | 0.946323 | 78.304856 | 13.184256 | 0.033631 | 1.050225 | 0.610950 | 13.784111 | 2.786085 | 21.877508 | 19.21570 | 107.907985 | 1.318005 | 0.460510 | 176.625563 | 97.07586 | 44.506128 | 1.006962 | 1.74307 | 4.474032 | 4.926396 | 2.620150 | 1793.612375 | 0.097344 | 13.214487 | 78.526968 | 26.304948 | 48.266400 | 1.460502 | 3903.806766 | 10.777915 | 4.408484 | 0.86130 | 0.467337 | 17.878444 | 192.453107 | 3332.467494 | 34.166222 | 100.086808 | 0.065096 | 0.0 | 049232ca8356 | B |
| 7 | 0.269199 | 966.45483 | 85.200147 | 21.174189 | 8.138688 | 4.987617 | 0.025578 | 9.408886 | 1.229900 | 5040.77914 | 20.8329 | 170.051724 | 6.199900 | 701.018610 | 257.432377 | 12.867400 | 0.771909 | 71.542272 | 24.910352 | 0.029850 | 1.050225 | 1.109625 | 41.932918 | 1.186155 | 42.113460 | 63.21684 | 326.225295 | 0.238680 | 0.325227 | 83.769368 | 73.98800 | 19.905608 | 2.117379 | 1.74307 | 15.870236 | 8.354376 | 3.277203 | 767.720563 | 0.292032 | 15.089217 | 104.985328 | 5.104512 | 37.556400 | 4.518057 | 18090.349450 | 10.342388 | 6.591896 | 0.49706 | 0.277693 | 18.445866 | 109.693986 | 21371.759850 | 35.208102 | 31.424696 | 0.092873 | 0.0 | 057287f2da6d | B |
# Converting categorical columns in numerical by Label encoding:
from sklearn.preprocessing import LabelEncoder
# Create a LabelEncoder object
label_encoder = LabelEncoder()
# Fit and transform the 'EJ' column in the train dataset
train_df['EJ'] = label_encoder.fit_transform(train_df['EJ'])
# Print the encoded DataFrame
train_df.head()
| AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | Class | EJ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.209377 | 3109.03329 | 85.200147 | 22.394407 | 8.138688 | 0.699861 | 0.025578 | 9.812214 | 5.555634 | 4126.58731 | 22.5984 | 175.638726 | 152.707705 | 823.928241 | 257.432377 | 47.223358 | 0.563481 | 23.387600 | 4.851915 | 0.023482 | 1.050225 | 0.069225 | 13.784111 | 1.302012 | 36.205956 | 69.08340 | 295.570575 | 0.23868 | 0.284232 | 89.245560 | 84.31664 | 29.657104 | 5.310690 | 1.74307 | 23.187704 | 7.294176 | 1.987283 | 1433.166750 | 0.949104 | 30.879420 | 78.526968 | 3.828384 | 13.394640 | 10.265073 | 9028.291921 | 3.583450 | 7.298162 | 1.73855 | 0.094822 | 11.339138 | 72.611063 | 2003.810319 | 22.136229 | 69.834944 | 0.120343 | 1.0 | 1 |
| 1 | 0.145282 | 978.76416 | 85.200147 | 36.968889 | 8.138688 | 3.632190 | 0.025578 | 13.517790 | 1.229900 | 5496.92824 | 19.4205 | 155.868030 | 14.754720 | 51.216883 | 257.432377 | 30.284345 | 0.484710 | 50.628208 | 6.085041 | 0.031442 | 1.113875 | 1.117800 | 28.310953 | 1.357182 | 37.476568 | 70.79836 | 178.553100 | 0.23868 | 0.363489 | 110.581815 | 75.74548 | 37.532000 | 0.005518 | 1.74307 | 17.222328 | 4.926396 | 0.858603 | 1111.287150 | 0.003042 | 109.125159 | 95.415086 | 52.260480 | 17.175984 | 0.296850 | 6785.003474 | 10.358927 | 0.173229 | 0.49706 | 0.568932 | 9.292698 | 72.611063 | 27981.562750 | 29.135430 | 32.131996 | 21.978000 | 0.0 | 0 |
| 2 | 0.470030 | 2635.10654 | 85.200147 | 32.360553 | 8.138688 | 6.732840 | 0.025578 | 12.824570 | 1.229900 | 5135.78024 | 26.4825 | 128.988531 | 219.320160 | 482.141594 | 257.432377 | 32.563713 | 0.495852 | 85.955376 | 5.376488 | 0.036218 | 1.050225 | 0.700350 | 39.364743 | 1.009611 | 21.459644 | 70.81970 | 321.426625 | 0.23868 | 0.210441 | 120.056438 | 65.46984 | 28.053464 | 1.289739 | 1.74307 | 36.861352 | 7.813674 | 8.146651 | 1494.076488 | 0.377208 | 109.125159 | 78.526968 | 5.390628 | 224.207424 | 8.745201 | 8338.906181 | 11.626917 | 7.709560 | 0.97556 | 1.198821 | 37.077772 | 88.609437 | 13676.957810 | 28.022851 | 35.192676 | 0.196941 | 0.0 | 1 |
| 3 | 0.252107 | 3819.65177 | 120.201618 | 77.112203 | 8.138688 | 3.685344 | 0.025578 | 11.053708 | 1.229900 | 4169.67738 | 23.6577 | 237.282264 | 11.050410 | 661.518640 | 257.432377 | 15.201914 | 0.717882 | 88.159360 | 2.347652 | 0.029054 | 1.400300 | 0.636075 | 41.116960 | 0.722727 | 21.530392 | 47.27586 | 196.607985 | 0.23868 | 0.292431 | 139.824570 | 71.57120 | 24.354856 | 2.655345 | 1.74307 | 52.003884 | 7.386060 | 3.813326 | 15691.552180 | 0.614484 | 31.674357 | 78.526968 | 31.323372 | 59.301984 | 7.884336 | 10965.766040 | 14.852022 | 6.122162 | 0.49706 | 0.284466 | 18.529584 | 82.416803 | 2094.262452 | 39.948656 | 90.493248 | 0.155829 | 0.0 | 1 |
| 4 | 0.380297 | 3733.04844 | 85.200147 | 14.103738 | 8.138688 | 3.942255 | 0.054810 | 3.396778 | 102.151980 | 5728.73412 | 24.0108 | 324.546318 | 149.717165 | 6074.859475 | 257.432377 | 82.213495 | 0.536467 | 72.644264 | 30.537722 | 0.025472 | 1.050225 | 0.693150 | 31.724726 | 0.827550 | 34.415360 | 74.06532 | 200.178160 | 0.23868 | 0.207708 | 97.920120 | 52.83888 | 26.019912 | 1.144902 | 1.74307 | 9.064856 | 7.350720 | 3.490846 | 1403.656300 | 0.164268 | 109.125159 | 91.994825 | 51.141336 | 29.102640 | 4.274640 | 16198.049590 | 13.666727 | 8.153058 | 48.50134 | 0.121914 | 16.408728 | 146.109943 | 8524.370502 | 45.381316 | 36.262628 | 0.096614 | 1.0 | 1 |
# Checking the distribution of 'Class' variable(output variable)
class_distribution = train_df['Class'].value_counts()
# Plotting the pie chart
plt.figure(figsize=(8, 6))
plt.pie(class_distribution, labels=class_distribution.index, autopct='%1.1f%%')
plt.title('Distribution of Output Class')
plt.show()
# Dropping the'Id' column
train_df = train_df.drop('Id', axis=1)
train_df.head()
| AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | Class | EJ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.209377 | 3109.03329 | 85.200147 | 22.394407 | 8.138688 | 0.699861 | 0.025578 | 9.812214 | 5.555634 | 4126.58731 | 22.5984 | 175.638726 | 152.707705 | 823.928241 | 257.432377 | 47.223358 | 0.563481 | 23.387600 | 4.851915 | 0.023482 | 1.050225 | 0.069225 | 13.784111 | 1.302012 | 36.205956 | 69.08340 | 295.570575 | 0.23868 | 0.284232 | 89.245560 | 84.31664 | 29.657104 | 5.310690 | 1.74307 | 23.187704 | 7.294176 | 1.987283 | 1433.166750 | 0.949104 | 30.879420 | 78.526968 | 3.828384 | 13.394640 | 10.265073 | 9028.291921 | 3.583450 | 7.298162 | 1.73855 | 0.094822 | 11.339138 | 72.611063 | 2003.810319 | 22.136229 | 69.834944 | 0.120343 | 1.0 | 1 |
| 1 | 0.145282 | 978.76416 | 85.200147 | 36.968889 | 8.138688 | 3.632190 | 0.025578 | 13.517790 | 1.229900 | 5496.92824 | 19.4205 | 155.868030 | 14.754720 | 51.216883 | 257.432377 | 30.284345 | 0.484710 | 50.628208 | 6.085041 | 0.031442 | 1.113875 | 1.117800 | 28.310953 | 1.357182 | 37.476568 | 70.79836 | 178.553100 | 0.23868 | 0.363489 | 110.581815 | 75.74548 | 37.532000 | 0.005518 | 1.74307 | 17.222328 | 4.926396 | 0.858603 | 1111.287150 | 0.003042 | 109.125159 | 95.415086 | 52.260480 | 17.175984 | 0.296850 | 6785.003474 | 10.358927 | 0.173229 | 0.49706 | 0.568932 | 9.292698 | 72.611063 | 27981.562750 | 29.135430 | 32.131996 | 21.978000 | 0.0 | 0 |
| 2 | 0.470030 | 2635.10654 | 85.200147 | 32.360553 | 8.138688 | 6.732840 | 0.025578 | 12.824570 | 1.229900 | 5135.78024 | 26.4825 | 128.988531 | 219.320160 | 482.141594 | 257.432377 | 32.563713 | 0.495852 | 85.955376 | 5.376488 | 0.036218 | 1.050225 | 0.700350 | 39.364743 | 1.009611 | 21.459644 | 70.81970 | 321.426625 | 0.23868 | 0.210441 | 120.056438 | 65.46984 | 28.053464 | 1.289739 | 1.74307 | 36.861352 | 7.813674 | 8.146651 | 1494.076488 | 0.377208 | 109.125159 | 78.526968 | 5.390628 | 224.207424 | 8.745201 | 8338.906181 | 11.626917 | 7.709560 | 0.97556 | 1.198821 | 37.077772 | 88.609437 | 13676.957810 | 28.022851 | 35.192676 | 0.196941 | 0.0 | 1 |
| 3 | 0.252107 | 3819.65177 | 120.201618 | 77.112203 | 8.138688 | 3.685344 | 0.025578 | 11.053708 | 1.229900 | 4169.67738 | 23.6577 | 237.282264 | 11.050410 | 661.518640 | 257.432377 | 15.201914 | 0.717882 | 88.159360 | 2.347652 | 0.029054 | 1.400300 | 0.636075 | 41.116960 | 0.722727 | 21.530392 | 47.27586 | 196.607985 | 0.23868 | 0.292431 | 139.824570 | 71.57120 | 24.354856 | 2.655345 | 1.74307 | 52.003884 | 7.386060 | 3.813326 | 15691.552180 | 0.614484 | 31.674357 | 78.526968 | 31.323372 | 59.301984 | 7.884336 | 10965.766040 | 14.852022 | 6.122162 | 0.49706 | 0.284466 | 18.529584 | 82.416803 | 2094.262452 | 39.948656 | 90.493248 | 0.155829 | 0.0 | 1 |
| 4 | 0.380297 | 3733.04844 | 85.200147 | 14.103738 | 8.138688 | 3.942255 | 0.054810 | 3.396778 | 102.151980 | 5728.73412 | 24.0108 | 324.546318 | 149.717165 | 6074.859475 | 257.432377 | 82.213495 | 0.536467 | 72.644264 | 30.537722 | 0.025472 | 1.050225 | 0.693150 | 31.724726 | 0.827550 | 34.415360 | 74.06532 | 200.178160 | 0.23868 | 0.207708 | 97.920120 | 52.83888 | 26.019912 | 1.144902 | 1.74307 | 9.064856 | 7.350720 | 3.490846 | 1403.656300 | 0.164268 | 109.125159 | 91.994825 | 51.141336 | 29.102640 | 4.274640 | 16198.049590 | 13.666727 | 8.153058 | 48.50134 | 0.121914 | 16.408728 | 146.109943 | 8524.370502 | 45.381316 | 36.262628 | 0.096614 | 1.0 | 1 |
train_df.shape
(617, 57)
# Split the dataframe into features (x) and target variable (y)
x = train_df.drop('Class', axis=1) # features
y = train_df['Class'] # Target variable
# Stratified Sampling: Stratified sampling is used when the dataset is imbalanced or when you want to ensure that each class
# is represented in both the training and test sets
# Splitting the train data into training & validation sets using stratified sampling
x_train, x_valid, y_train, y_valid = train_test_split(x, y, test_size=0.30, stratify=y, random_state=42)
# Print the shapes of the resulting datasets
print("x_train shape:", x_train.shape)
print("x_valid shape:", x_valid.shape)
print("y_train shape:", y_train.shape)
print("y_valid shape:", y_valid.shape)
x_train shape: (431, 56) x_valid shape: (186, 56) y_train shape: (431,) y_valid shape: (186,)
from sklearn.preprocessing import StandardScaler
# Assuming x_train and x_test are the feature sets
# Create the scaler object
scaler = StandardScaler()
# Fit the scaler on the training set
scaler.fit(x_train)
# Transform the training set
x_train_scaled = scaler.transform(x_train)
# Transform the testing set using the same scaler
x_valid_scaled = scaler.transform(x_valid)
# Converting scaled arrays to respective dataframes
x_train_scaled = pd.DataFrame(x_train_scaled, columns=x_train.columns)
x_valid_scaled = pd.DataFrame(x_valid_scaled, columns=x_valid.columns)
x_train_scaled.head()
| AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | EJ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -0.578847 | -0.813207 | -0.246596 | -0.485677 | -0.189234 | -0.950187 | -0.084117 | -0.250628 | -0.106195 | -0.611691 | -0.946420 | -0.725135 | -0.991933 | -0.231473 | -0.130952 | -0.437169 | -0.551490 | -0.739397 | -0.221702 | -0.917126 | -0.166308 | -0.656098 | -0.209843 | 0.185218 | -1.327523 | -0.165398 | -0.254580 | -0.166785 | 0.736573 | 0.337447 | -0.440000 | -0.712331 | -0.217917 | -0.114165 | -0.169187 | -0.514413 | -1.085553 | -0.357101 | -0.427051 | -0.784791 | -0.420340 | -0.068096 | -0.216354 | -0.379963 | 3.917970 | -0.002263 | -0.480085 | -0.065843 | -0.116128 | -0.501240 | -0.254094 | 0.402761 | -0.202064 | 0.897986 | 1.301265 | -1.334408 |
| 1 | 0.154287 | 1.373691 | -0.246596 | -0.197105 | -0.203506 | -0.215006 | -0.084117 | -1.158915 | -0.106195 | -0.264544 | 0.268795 | -0.347287 | -1.016493 | 0.852010 | -0.130952 | -0.425427 | 0.131706 | -0.641582 | -0.404985 | 0.398658 | -0.166308 | -0.722531 | 0.164961 | -0.008372 | 0.748316 | 0.751784 | -0.809338 | -0.181093 | -1.038729 | 0.248368 | -0.634861 | -2.002368 | -0.217917 | -0.114165 | 3.881630 | -0.369712 | 0.903865 | -0.123023 | -0.427051 | 1.102205 | 0.009418 | -0.281041 | 0.050020 | -0.379963 | 2.328843 | 1.330019 | -0.480085 | -0.052777 | -0.173539 | 0.961042 | -0.396663 | -0.755450 | 0.118290 | 1.294184 | 1.301265 | -1.334408 |
| 2 | -0.527698 | 0.103716 | -0.246596 | -0.426589 | -0.203506 | 0.612901 | -0.038771 | -1.739376 | -0.106195 | 0.149485 | 0.876402 | -0.211431 | 1.184260 | -0.170499 | 0.260843 | -0.228503 | -1.510491 | -0.390058 | -0.133024 | -0.637172 | -0.166308 | -0.273908 | -0.609973 | 0.443338 | -1.327523 | 0.507370 | -0.895136 | -0.181093 | -0.211876 | -0.391073 | 0.548620 | -0.390940 | 0.011326 | -0.114165 | -0.060066 | 0.244356 | -0.799612 | -0.207139 | 0.445951 | 1.102205 | 0.192743 | -0.304459 | -0.412353 | 0.190773 | 4.684170 | -0.672104 | -0.006608 | -0.045489 | -0.054302 | -1.012883 | 0.028176 | -0.669144 | -1.294994 | -0.831437 | -0.815500 | 0.749396 |
| 3 | -0.433925 | 0.772965 | -0.246596 | -0.401710 | -0.203506 | -1.076029 | -0.084117 | -1.739376 | -0.090624 | 0.796538 | 0.775134 | 0.620209 | -0.997453 | 0.094638 | 0.034819 | -0.218073 | -0.037031 | -0.960002 | -0.677441 | -1.253070 | -0.166308 | -0.856721 | 1.693993 | -1.438786 | -0.428232 | 2.004963 | -0.855011 | -0.181093 | -1.306240 | -0.114855 | -0.594843 | -1.648749 | 0.220964 | -0.114165 | -0.194122 | 0.775130 | 0.350235 | 0.185266 | 0.533880 | -1.404094 | -0.420340 | 0.044610 | -0.313442 | 0.448904 | 2.767541 | -0.986670 | 0.383630 | -0.061318 | -0.239782 | -0.259681 | -0.396663 | -0.629923 | -1.372102 | -0.400550 | -0.822730 | 0.749396 |
| 4 | -0.050308 | -0.519493 | -0.183946 | 0.029572 | -0.203506 | 0.616212 | -0.084117 | -1.046131 | -0.106195 | -0.942073 | -0.440081 | -0.635050 | -0.750640 | 0.887792 | -0.130952 | -0.382460 | -0.512117 | 0.115519 | -0.053980 | 0.174695 | -0.166308 | 0.421128 | -1.506004 | -0.793486 | -1.327523 | -1.299858 | 0.858791 | -0.181093 | -0.673941 | -0.616229 | -0.127236 | -0.202941 | -0.125521 | -0.114165 | 0.563308 | -0.698026 | 0.565198 | -0.837864 | -0.295159 | -0.791123 | -0.420340 | -0.230367 | -0.399638 | -0.328584 | -0.578600 | -1.069938 | -0.225156 | -0.065843 | -0.239782 | -0.908594 | -0.396663 | -0.740521 | 2.121993 | -1.108181 | -0.825925 | 0.749396 |
# Checking the size of splitted data:
print(type(x_train_scaled))
print(x_train_scaled.shape)
print(type(y_train))
print(y_train.shape)
<class 'pandas.core.frame.DataFrame'> (431, 56) <class 'pandas.core.series.Series'> (431,)
x_train_scaled
| AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | EJ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -0.578847 | -0.813207 | -0.246596 | -0.485677 | -0.189234 | -0.950187 | -0.084117 | -0.250628 | -0.106195 | -0.611691 | -0.946420 | -0.725135 | -0.991933 | -0.231473 | -0.130952 | -0.437169 | -0.551490 | -0.739397 | -0.221702 | -0.917126 | -0.166308 | -0.656098 | -0.209843 | 0.185218 | -1.327523 | -0.165398 | -0.254580 | -0.166785 | 0.736573 | 0.337447 | -0.440000 | -0.712331 | -0.217917 | -0.114165 | -0.169187 | -0.514413 | -1.085553 | -0.357101 | -0.427051 | -0.784791 | -0.420340 | -0.068096 | -0.216354 | -0.379963 | 3.917970 | -0.002263 | -0.480085 | -0.065843 | -0.116128 | -0.501240 | -0.254094 | 0.402761 | -0.202064 | 0.897986 | 1.301265 | -1.334408 |
| 1 | 0.154287 | 1.373691 | -0.246596 | -0.197105 | -0.203506 | -0.215006 | -0.084117 | -1.158915 | -0.106195 | -0.264544 | 0.268795 | -0.347287 | -1.016493 | 0.852010 | -0.130952 | -0.425427 | 0.131706 | -0.641582 | -0.404985 | 0.398658 | -0.166308 | -0.722531 | 0.164961 | -0.008372 | 0.748316 | 0.751784 | -0.809338 | -0.181093 | -1.038729 | 0.248368 | -0.634861 | -2.002368 | -0.217917 | -0.114165 | 3.881630 | -0.369712 | 0.903865 | -0.123023 | -0.427051 | 1.102205 | 0.009418 | -0.281041 | 0.050020 | -0.379963 | 2.328843 | 1.330019 | -0.480085 | -0.052777 | -0.173539 | 0.961042 | -0.396663 | -0.755450 | 0.118290 | 1.294184 | 1.301265 | -1.334408 |
| 2 | -0.527698 | 0.103716 | -0.246596 | -0.426589 | -0.203506 | 0.612901 | -0.038771 | -1.739376 | -0.106195 | 0.149485 | 0.876402 | -0.211431 | 1.184260 | -0.170499 | 0.260843 | -0.228503 | -1.510491 | -0.390058 | -0.133024 | -0.637172 | -0.166308 | -0.273908 | -0.609973 | 0.443338 | -1.327523 | 0.507370 | -0.895136 | -0.181093 | -0.211876 | -0.391073 | 0.548620 | -0.390940 | 0.011326 | -0.114165 | -0.060066 | 0.244356 | -0.799612 | -0.207139 | 0.445951 | 1.102205 | 0.192743 | -0.304459 | -0.412353 | 0.190773 | 4.684170 | -0.672104 | -0.006608 | -0.045489 | -0.054302 | -1.012883 | 0.028176 | -0.669144 | -1.294994 | -0.831437 | -0.815500 | 0.749396 |
| 3 | -0.433925 | 0.772965 | -0.246596 | -0.401710 | -0.203506 | -1.076029 | -0.084117 | -1.739376 | -0.090624 | 0.796538 | 0.775134 | 0.620209 | -0.997453 | 0.094638 | 0.034819 | -0.218073 | -0.037031 | -0.960002 | -0.677441 | -1.253070 | -0.166308 | -0.856721 | 1.693993 | -1.438786 | -0.428232 | 2.004963 | -0.855011 | -0.181093 | -1.306240 | -0.114855 | -0.594843 | -1.648749 | 0.220964 | -0.114165 | -0.194122 | 0.775130 | 0.350235 | 0.185266 | 0.533880 | -1.404094 | -0.420340 | 0.044610 | -0.313442 | 0.448904 | 2.767541 | -0.986670 | 0.383630 | -0.061318 | -0.239782 | -0.259681 | -0.396663 | -0.629923 | -1.372102 | -0.400550 | -0.822730 | 0.749396 |
| 4 | -0.050308 | -0.519493 | -0.183946 | 0.029572 | -0.203506 | 0.616212 | -0.084117 | -1.046131 | -0.106195 | -0.942073 | -0.440081 | -0.635050 | -0.750640 | 0.887792 | -0.130952 | -0.382460 | -0.512117 | 0.115519 | -0.053980 | 0.174695 | -0.166308 | 0.421128 | -1.506004 | -0.793486 | -1.327523 | -1.299858 | 0.858791 | -0.181093 | -0.673941 | -0.616229 | -0.127236 | -0.202941 | -0.125521 | -0.114165 | 0.563308 | -0.698026 | 0.565198 | -0.837864 | -0.295159 | -0.791123 | -0.420340 | -0.230367 | -0.399638 | -0.328584 | -0.578600 | -1.069938 | -0.225156 | -0.065843 | -0.239782 | -0.908594 | -0.396663 | -0.740521 | 2.121993 | -1.108181 | -0.825925 | 0.749396 |
| 5 | -0.493599 | -0.372892 | -0.148156 | 0.086845 | -0.203506 | 1.656063 | -0.084117 | 1.845649 | -0.106195 | 0.752954 | -0.136277 | 0.179512 | -0.593107 | 0.061663 | 0.260671 | -0.260777 | 0.131682 | 0.316055 | -0.637178 | -0.581181 | 0.105434 | -1.425242 | 0.694937 | 1.841486 | -1.327523 | 0.821368 | 0.890185 | -0.181093 | 0.006997 | 0.614259 | -0.503212 | -0.259341 | -0.217917 | -0.114165 | -0.810830 | -0.030454 | -0.300736 | 0.027032 | -0.427051 | 1.102205 | -0.420340 | -0.079224 | 0.597405 | -0.379963 | -0.260700 | -0.248364 | -0.480085 | -0.057171 | -0.217701 | 1.699537 | -0.396663 | 1.727410 | -1.140032 | 0.197489 | 1.301265 | -1.334408 |
| 6 | 0.103138 | 0.262438 | -0.246596 | -0.201165 | -0.203506 | -0.099099 | -0.084117 | 0.994506 | -0.050880 | -0.173295 | 0.775134 | -0.261449 | 0.859735 | 0.309910 | -0.130952 | -0.015509 | -0.303474 | -1.250474 | 4.781053 | -0.133254 | -0.166308 | 0.033644 | -0.088515 | -0.535366 | -1.327523 | -0.062283 | -0.361939 | -0.181093 | -0.138918 | -0.257560 | 0.213806 | -0.414217 | -0.058553 | -0.114165 | -1.400381 | 0.081415 | -1.026742 | -0.041610 | 0.282656 | -0.021718 | -0.420340 | -0.304459 | -0.393724 | 0.152394 | -0.153704 | -2.200526 | -0.026547 | -0.024844 | 0.069352 | -0.134890 | -0.396663 | -0.306927 | 1.320363 | 1.629745 | -0.812611 | 0.749396 |
| 7 | 0.213961 | 0.080134 | 0.081135 | -0.274809 | -0.203506 | -0.218318 | -0.084117 | 1.597525 | -0.106195 | 0.534563 | 0.167527 | 0.025421 | 0.224064 | 0.008408 | -0.130952 | 0.267216 | 0.327473 | -0.066286 | -0.065095 | -0.385213 | -0.017041 | 0.237179 | 0.153105 | -0.503101 | 0.720467 | 0.971292 | 0.302690 | -0.181093 | -0.892814 | -0.144993 | 0.080797 | -0.690845 | 0.181171 | -0.114165 | 0.670454 | -0.067542 | -0.073606 | 0.399997 | 0.157044 | -1.166922 | -0.420340 | -0.190574 | 1.199544 | 0.229771 | -0.530029 | -0.551829 | 0.528207 | -0.036521 | 0.268080 | 0.367840 | -0.233196 | -0.529183 | 0.795876 | -0.600082 | -0.825954 | 0.749396 |
| 8 | -0.510648 | -0.843439 | -0.246596 | -0.396268 | -0.203506 | -0.860773 | -0.070636 | -0.158897 | -0.106195 | -0.651438 | -1.655296 | -0.427256 | -0.726725 | 0.098616 | 0.203314 | 0.916565 | -0.634510 | -0.192346 | -0.854302 | -0.189245 | -0.166308 | -0.134160 | -0.409448 | -0.395552 | 1.295435 | 0.396793 | -0.476378 | -0.181093 | 0.031316 | -0.376290 | 0.469086 | -0.284407 | -0.217917 | -0.114165 | -0.392367 | -0.143540 | -0.998351 | -0.238733 | -0.427051 | -0.346208 | -0.130500 | -0.304459 | -0.218621 | -0.379963 | -0.531535 | -0.596238 | -0.480085 | -0.044898 | -0.239782 | 0.555026 | -0.396663 | 1.821916 | 0.419274 | -0.822834 | 1.301265 | -1.334408 |
| 9 | -0.519173 | -0.461430 | -0.246596 | -0.289322 | -0.203506 | -0.751489 | 0.085010 | -0.701764 | -0.076410 | -0.434568 | -1.250224 | -0.629755 | -1.052292 | -0.203587 | -0.130952 | -0.437169 | -0.877615 | -0.219996 | -0.673612 | 0.538635 | -0.166308 | 0.961328 | 0.544140 | -0.148187 | 0.703984 | 0.141040 | -0.973466 | -0.181093 | -1.014410 | -0.019464 | -0.226312 | -1.094597 | -0.217917 | -0.114165 | 1.702909 | -0.105845 | -0.740801 | -0.467864 | -0.427051 | 1.102205 | 0.977453 | -0.244347 | -0.232716 | -0.379963 | 0.094599 | 0.280847 | -0.480085 | -0.065843 | -0.239782 | -0.906811 | -0.396663 | -0.171890 | 0.418156 | -0.689253 | 1.301265 | -1.334408 |
| 10 | 0.682826 | 0.010062 | 0.515484 | -0.318305 | -0.203506 | 0.215505 | -0.084117 | 0.568935 | -0.106195 | 0.020276 | 0.876402 | -0.018728 | 0.398212 | -0.217860 | -0.130952 | -0.228110 | -0.621657 | -0.247200 | -0.698560 | -0.413208 | 0.059506 | 0.916069 | -0.196836 | -0.352532 | -1.327523 | 0.982049 | -0.384091 | -0.181093 | 0.858169 | -0.217383 | 0.585129 | -0.215474 | -0.208988 | -0.114165 | 0.691686 | 0.160454 | 0.222474 | -0.428224 | 0.043993 | -1.108934 | -0.420340 | -0.186841 | -0.281309 | 0.033542 | -0.112457 | 1.972104 | -0.359805 | -0.065843 | -0.239782 | 0.119149 | -0.396663 | -0.522176 | 1.489108 | -0.382226 | -0.613386 | 0.749396 |
| 11 | -0.549010 | -0.066405 | -0.217147 | -0.368171 | -0.203506 | -0.607434 | 0.072141 | 0.024565 | -0.019194 | -0.146026 | 0.268795 | -0.160619 | -0.993257 | -0.151082 | -0.130952 | -0.068085 | -0.159779 | -0.489211 | -0.120056 | -0.287229 | -0.152912 | -0.299581 | 1.025653 | -0.062147 | 0.628552 | -0.591426 | 0.324727 | -0.181093 | 0.371785 | 0.286088 | 0.209260 | -0.959864 | -0.217917 | -0.114165 | 0.759701 | 0.068648 | -0.783388 | -0.406643 | -0.427051 | 0.466913 | 3.467575 | -0.024570 | -0.342864 | -0.379963 | 3.105926 | -0.196554 | -0.480085 | -0.039430 | 0.003109 | -0.100572 | -0.396663 | -0.501335 | 1.838331 | 0.023413 | 1.301265 | -1.334408 |
| 12 | 0.572003 | -0.033079 | -0.246596 | 0.557994 | -0.203506 | -0.499806 | -0.084117 | 1.011048 | -0.106195 | 0.507061 | -0.440081 | -0.192059 | -0.775198 | -0.052822 | -0.130952 | -0.281637 | 0.737280 | 1.270124 | -0.687568 | 0.426654 | -0.108898 | 0.168893 | -0.140086 | 0.034648 | -1.327523 | -1.070563 | -0.648943 | -0.181093 | -0.819856 | 0.705244 | 0.037630 | 2.455915 | -0.217917 | -0.114165 | -1.052279 | 0.790330 | 1.579172 | -0.361040 | -0.427051 | 1.102205 | -0.420340 | 1.685083 | -0.236462 | -0.379963 | -0.345110 | -0.742419 | -0.480085 | -0.050028 | -0.239782 | -1.553050 | 0.591823 | -0.349253 | 2.209904 | 2.546141 | 1.301265 | -1.334408 |
| 13 | -0.485074 | -0.245120 | 0.457185 | -0.034095 | -0.203506 | 0.490370 | -0.084117 | 2.926871 | -0.015664 | 0.195115 | -0.541349 | -0.072563 | -0.730612 | -0.159863 | -0.130952 | 8.195646 | -0.432636 | 1.316356 | 0.002833 | 0.006723 | 0.013578 | 0.686861 | 0.332794 | -1.298971 | 0.676825 | 0.249389 | -0.196615 | -0.181093 | -2.011497 | -0.986462 | -1.521540 | -0.687264 | -0.217917 | -0.114165 | -0.347435 | -0.197043 | -0.152696 | 0.181600 | -0.427051 | -0.726004 | 0.307879 | -0.073695 | 2.383467 | -0.379963 | 0.122313 | 0.106910 | -0.480085 | -0.054383 | 0.091433 | -0.621574 | -0.396663 | 1.080484 | -0.094038 | -1.084961 | 1.301265 | -1.334408 |
| 14 | -0.459499 | -0.574834 | -0.246596 | -0.348496 | -0.203506 | 0.298296 | -0.084117 | 0.964431 | -0.106195 | -0.047181 | -0.541349 | 0.127067 | -0.837289 | -0.151300 | -0.130952 | -0.435726 | 0.093481 | -0.049414 | -0.569743 | 0.034718 | -0.166308 | 0.089226 | -0.555410 | -0.072902 | 0.640763 | 2.884833 | 1.134054 | -0.181093 | -1.136006 | -0.225664 | -0.755127 | -0.527017 | -0.217917 | -0.114165 | -0.727137 | -0.560620 | -0.428497 | 0.052463 | -0.427051 | 0.034310 | -0.420340 | -0.067251 | -0.358831 | -0.379963 | -0.241417 | 0.399272 | -0.480085 | -0.055313 | -0.239782 | 0.154804 | -0.396663 | 1.574350 | 0.654324 | -0.337571 | 1.301265 | -1.334408 |
| 15 | -0.127032 | 0.797323 | -0.246596 | -0.082903 | -0.203506 | 0.179078 | -0.084117 | 0.681719 | -0.070797 | 0.261206 | 0.673866 | 0.024274 | 1.644121 | -0.203182 | -0.130952 | -0.010064 | -0.303474 | 0.916176 | -0.131789 | 0.482645 | -0.032350 | -0.267291 | -0.053752 | -1.922760 | 0.641596 | 2.995702 | 0.327904 | -0.181093 | -1.111686 | 0.520435 | -1.647176 | 0.664545 | -0.217917 | -0.114165 | 0.016467 | -0.023159 | 0.064294 | 0.329671 | -0.427051 | -0.378591 | -0.420340 | -0.069575 | -0.217192 | -0.379963 | -0.487441 | 0.056950 | -0.480085 | -0.047182 | 0.219502 | 1.413410 | -0.396663 | 1.432323 | 0.759371 | 1.242430 | 1.301265 | -1.334408 |
| 16 | -0.340152 | 0.298213 | -0.246596 | -0.344004 | -0.203506 | 0.275115 | -0.084117 | 0.666681 | -0.106195 | 0.642492 | 0.268795 | -0.264582 | 1.118972 | -0.219862 | -0.130952 | 0.003580 | -0.481856 | -0.477616 | -0.063119 | 0.006723 | 0.028887 | -0.027496 | 0.071490 | 0.368053 | -0.056406 | 2.046151 | -0.626603 | -0.181093 | 1.004084 | -0.659455 | 0.946358 | 0.535630 | -0.104169 | -0.114165 | -0.645914 | -0.683434 | -0.440665 | -0.009861 | -0.031374 | 1.102205 | 0.558777 | -0.195363 | -0.319454 | -0.093357 | -0.470009 | 0.465886 | -0.097475 | -0.065843 | -0.116128 | -0.309597 | -0.396663 | -0.602621 | 0.799229 | -0.311239 | -0.816894 | 0.749396 |
| 17 | -0.144081 | 1.051117 | -0.190398 | -0.284484 | -0.203506 | 1.960733 | -0.001392 | -0.115287 | -0.084422 | -0.213238 | -0.237545 | -0.426351 | 0.029997 | -0.154101 | -0.130952 | -0.400303 | 0.162275 | -0.627683 | 0.414357 | 0.482645 | -0.166308 | -0.920772 | -0.054212 | -0.331022 | 0.984436 | 1.337525 | 0.109531 | 0.066310 | -0.382110 | 0.018383 | 1.045793 | -0.287988 | -0.077964 | -0.114165 | -0.020812 | 0.024873 | 0.697015 | -0.501740 | 0.094238 | 0.490752 | 0.349362 | -0.150816 | -0.260709 | -0.144117 | -0.642311 | -0.727616 | -0.213453 | -0.065843 | -0.120545 | -0.719624 | 0.833334 | -0.541809 | 1.126660 | -0.588508 | -0.815829 | 0.749396 |
| 18 | -0.621471 | -0.376772 | -0.246596 | -0.455442 | -0.203506 | -1.821145 | -0.084117 | -0.602514 | 0.110900 | -0.666144 | -1.756564 | 0.307679 | -0.907070 | -0.174392 | -0.130952 | 0.135628 | -0.497584 | -1.250474 | -0.865418 | -0.217240 | -0.166308 | 0.149307 | -0.507753 | 0.421828 | 0.729800 | -0.155706 | -0.582381 | -0.181093 | 0.177231 | -0.497731 | 0.414250 | 1.493535 | -0.217917 | -0.114165 | -1.400381 | -0.698026 | -0.633320 | -0.299953 | -0.427051 | -0.435262 | -0.420340 | -0.304459 | -0.395892 | -0.379963 | -0.175158 | -2.200526 | -0.480085 | -0.055293 | -0.230949 | -0.909485 | -0.396663 | 0.531907 | 2.958639 | -0.224726 | 1.301265 | -1.334408 |
| 19 | -0.229329 | 0.178803 | -0.246596 | -0.091153 | -0.203506 | -0.821034 | -0.041222 | -0.464166 | -0.084377 | -0.176442 | 0.673866 | -0.645265 | 0.116922 | -0.128732 | -0.130952 | 1.023817 | 0.000639 | 0.583040 | -0.127837 | -0.301227 | -0.166308 | 0.568551 | -0.144230 | 0.389563 | -1.327523 | 1.098150 | -0.397242 | -0.181093 | -0.673941 | -0.351511 | 0.764598 | 2.191820 | -0.019732 | -0.114165 | -0.343732 | -0.698026 | -0.884786 | -0.287283 | 0.408268 | 1.102205 | 0.035124 | -0.304459 | -0.267412 | 0.299101 | 0.327248 | -0.422301 | 0.065272 | -0.052748 | -0.111712 | -0.571658 | -0.396663 | -0.297002 | -0.630073 | -0.608755 | -0.813685 | 0.749396 |
| 20 | 0.111663 | 0.662252 | -0.199177 | -0.434191 | -0.203506 | 0.535077 | -0.084117 | -0.127318 | 0.069074 | 0.015557 | 0.977670 | 0.762540 | 2.648425 | -0.102684 | 0.211834 | -0.390070 | -0.955723 | 0.690295 | -0.165259 | 1.182530 | -0.032350 | -0.273378 | -0.219628 | 0.416450 | 0.293453 | -0.873927 | -0.608509 | -0.181093 | -0.163238 | -0.079676 | 0.429176 | 0.659621 | -0.217917 | -0.114165 | 4.246767 | 0.318531 | -1.389745 | -0.420465 | -0.427051 | 1.102205 | 0.559239 | 0.015998 | -0.276529 | -0.379963 | -0.066699 | -0.391770 | -0.480085 | 0.687176 | -0.239782 | 1.408953 | -0.396663 | -0.733277 | 1.461170 | 0.284142 | 1.301265 | -1.334408 |
| 21 | -0.681144 | -0.547013 | -0.246596 | -0.113008 | -0.203506 | 0.169143 | -0.084117 | -1.739376 | -0.106195 | -0.279279 | 0.167527 | 0.183748 | -0.559871 | -0.321829 | -0.130952 | -0.385478 | -0.457346 | -0.255822 | -0.787732 | 0.874580 | -0.166308 | -0.286083 | 0.011632 | -0.599896 | 1.272691 | 1.131101 | 0.508865 | -0.181093 | -0.844175 | -0.986462 | -0.692202 | -0.738293 | -0.217723 | -0.114165 | -0.389158 | -0.598316 | -1.097720 | -0.250137 | -0.282598 | -1.144844 | 0.365909 | 0.009201 | -0.305064 | -0.280301 | -0.380485 | -0.479663 | -0.456503 | -0.058637 | -0.058718 | 0.620096 | -0.396663 | -0.559430 | -1.007047 | -1.067827 | -0.140490 | 0.749396 |
| 22 | 0.120188 | -0.939664 | -0.246596 | -0.104845 | -0.203506 | -0.542857 | 0.127904 | 0.424572 | -0.069530 | -0.352582 | -0.440081 | -0.417813 | -1.019929 | -0.115651 | 0.309497 | -0.022331 | 0.144712 | 0.050111 | -0.064848 | 0.622622 | -0.020868 | -0.336636 | 0.266260 | 0.228238 | 0.894392 | 0.603896 | 0.780152 | -0.181093 | 0.614977 | 0.310465 | -0.434846 | -0.173398 | -0.217917 | -0.114165 | 0.884993 | -0.226227 | 1.240505 | -0.570470 | -0.427051 | 1.102205 | 0.778428 | 0.039416 | 1.236161 | -0.379963 | -0.400215 | -0.063325 | -0.480085 | -0.065843 | -0.239782 | -0.851546 | -0.396663 | 0.736072 | -0.504166 | 0.085378 | 1.301265 | -1.334408 |
| 23 | 0.120188 | 0.305847 | -0.246596 | 0.120406 | -0.203506 | -0.377276 | -0.084117 | 0.346375 | -0.106195 | 0.015730 | 0.977670 | -0.150116 | 2.074014 | -0.102240 | -0.130952 | 0.769692 | -0.877615 | 0.406140 | 0.388050 | -0.217240 | -0.166308 | -0.204563 | -0.050183 | -0.449327 | 0.632935 | 0.267415 | -0.082781 | -0.181093 | -0.844175 | -0.292294 | -1.036680 | 1.900868 | -0.007114 | -0.114165 | -0.833049 | 0.005417 | -0.931429 | -0.017827 | 0.596686 | -1.488787 | -0.420340 | -0.304459 | -0.333796 | 0.370908 | 0.192873 | -0.614742 | 0.024686 | -0.054199 | -0.085215 | 0.276029 | -0.396663 | 0.448426 | -0.976875 | -0.539796 | -0.810841 | 0.749396 |
| 24 | -0.058833 | 0.071624 | -0.189723 | 0.318057 | -0.203506 | 1.162631 | -0.084117 | -0.394991 | -0.106195 | 0.249973 | 1.180206 | -0.052441 | -0.718585 | -0.122698 | -0.130952 | 0.121328 | -1.216438 | -1.250474 | 1.414760 | 0.118704 | -0.166308 | 0.067787 | -0.297444 | 0.088423 | 0.679443 | -0.289058 | 1.335917 | -0.181093 | -0.163238 | -0.571498 | 0.245304 | 0.785402 | -0.217917 | -0.114165 | -1.400381 | 0.035816 | -0.661711 | -0.210658 | -0.427051 | 1.102205 | 0.020501 | -0.304459 | 1.058250 | -0.379963 | -0.494185 | -2.200526 | -0.480085 | -0.049409 | -0.058718 | -0.850655 | -0.396663 | 1.643507 | 0.731060 | -0.963689 | 1.301265 | -1.334408 |
| 25 | -0.476549 | -1.126763 | 0.467014 | 0.428243 | -0.190376 | 0.553291 | 0.255362 | -0.086715 | -0.057218 | -0.617654 | -0.136277 | 0.006623 | 2.140964 | -0.321829 | -0.130952 | -0.233095 | 0.218595 | -0.363151 | 0.389903 | -0.161250 | 0.162845 | 0.367134 | 0.059058 | 1.475817 | 1.008125 | 0.736472 | 0.751203 | -0.181093 | 2.268682 | -0.055299 | -0.059013 | 0.727211 | -0.217917 | -0.114165 | -0.400267 | -0.302833 | -0.793528 | -0.099182 | -0.427051 | 1.102205 | 2.160829 | -0.297592 | -0.372778 | -0.379963 | -0.174554 | -0.340884 | -0.480085 | -0.065843 | -0.239782 | -0.242745 | -0.113692 | 1.209302 | -1.173557 | 0.377928 | 1.301265 | -1.334408 |
| 26 | -0.433925 | 0.077585 | -0.246596 | -0.352384 | -0.203506 | -0.400457 | -0.084117 | 0.226072 | -0.106195 | -0.492032 | -0.035009 | -0.222992 | -0.239290 | -0.048429 | -0.130952 | -0.349268 | -0.061895 | -0.761696 | -0.416471 | -0.385213 | -0.166308 | -1.156597 | -0.800828 | 0.561643 | -0.348988 | -1.166312 | -0.035535 | -0.181093 | -0.357791 | 0.185550 | -0.483955 | -0.032845 | -0.028466 | -0.114165 | 0.093247 | -0.278514 | 0.208279 | 15.311691 | 0.081677 | -0.731937 | -0.420340 | -0.304459 | -0.363563 | 0.142489 | -0.207420 | -1.064387 | 0.203223 | -0.054461 | -0.239782 | -0.509262 | 1.075227 | -0.601701 | -1.891746 | 0.922604 | -0.820469 | 0.749396 |
| 27 | -0.263429 | -0.086536 | 0.552248 | -0.273125 | -0.203506 | -0.569350 | 0.009025 | -1.739376 | -0.106195 | -0.113400 | 1.686546 | 0.435559 | -0.789562 | -0.120099 | -0.130952 | -0.158511 | 0.140156 | -0.603675 | -0.718074 | -0.077263 | -0.166308 | -0.287141 | -0.078155 | -0.578386 | -1.327523 | -0.646763 | -0.505435 | -0.181093 | -0.187557 | -0.290345 | -0.177060 | 0.491764 | -0.104169 | -0.114165 | 0.432708 | 0.739259 | -0.903037 | 0.071915 | 0.295217 | -1.431666 | 0.884020 | -0.175924 | 1.321125 | 0.358527 | -0.240852 | 0.687933 | 0.037038 | -0.055375 | -0.116128 | 0.831349 | -0.396663 | -0.554581 | -0.097018 | 0.323237 | -0.804187 | 0.749396 |
| 28 | -0.468024 | 0.621288 | -0.246596 | -0.418987 | -0.203506 | -1.039601 | -0.084117 | 0.224568 | -0.106195 | 0.047660 | -0.440081 | -0.156228 | 0.028144 | -0.140105 | -0.130952 | -0.296134 | 0.791032 | -0.377422 | -0.468221 | -1.001112 | -0.166308 | -0.062962 | -0.916631 | 0.120688 | -1.327523 | 1.969008 | -0.285732 | -0.181093 | 0.444742 | -0.236677 | 0.630229 | 1.260773 | -0.081846 | -0.114165 | -0.858972 | 0.058312 | 0.222474 | -0.185195 | 0.119360 | -1.112345 | -0.420340 | -0.304459 | -0.349468 | 0.295387 | 0.052197 | -0.181750 | 0.209312 | -0.065843 | 0.250415 | -1.333774 | 0.738218 | -0.319562 | -1.477894 | -0.248575 | -0.814537 | 0.749396 |
| 29 | -0.297528 | -1.040557 | -0.246596 | -0.457084 | -0.203506 | -1.009796 | -0.084117 | 1.244135 | -0.038115 | -0.111388 | -0.338813 | -0.466551 | -1.008579 | -0.219330 | -0.130952 | -0.211448 | 0.224856 | -0.299824 | -0.465751 | -0.189245 | 0.036542 | 0.241414 | -0.165180 | 0.099178 | 0.949661 | -0.906780 | -0.793500 | -0.181093 | -0.041642 | -0.124682 | -0.716828 | -0.907493 | -0.212870 | -0.114165 | -0.823174 | -0.698026 | 3.014960 | 3.923277 | -0.194669 | 0.375159 | -0.368468 | -0.088468 | -0.253070 | 0.157965 | -0.201126 | 0.158721 | -0.225129 | -0.065843 | 0.215086 | 0.304553 | -0.021573 | -0.346999 | 0.120525 | 0.428563 | -0.649911 | 0.749396 |
| 30 | -0.382776 | -1.594110 | -0.246596 | -0.465895 | -0.203506 | -0.208383 | -0.030192 | -1.739376 | -0.106195 | -0.078861 | -0.237545 | 0.010329 | 0.811600 | -0.321829 | 0.250764 | -0.191638 | 0.064723 | -0.378462 | -0.796007 | -1.001112 | -0.120380 | -0.775466 | -0.346827 | -2.094840 | 0.740879 | -0.103373 | 1.863983 | 1.611789 | -1.938539 | -0.986462 | -1.356818 | -0.779474 | 0.196700 | -0.114165 | -0.702449 | -0.698026 | -0.531923 | -0.162419 | 1.501091 | -1.540588 | -0.082937 | 0.372409 | -0.440592 | 0.612325 | -0.253483 | -0.379742 | 0.012412 | -0.065843 | -0.160290 | -0.232940 | -0.396663 | -0.344805 | -0.859163 | -0.992084 | -0.811783 | 0.749396 |
| 31 | -0.672620 | 1.230345 | -0.246596 | -0.511766 | -0.203506 | -0.314355 | 0.021281 | 0.244117 | -0.066905 | -0.617603 | 0.268795 | -0.061223 | -1.053700 | -0.220508 | -0.130952 | -0.347497 | -0.305379 | -0.512996 | -0.559615 | -0.609176 | -0.166308 | 0.883779 | -0.071939 | 0.077668 | -1.327523 | -1.012221 | -0.656775 | -0.181093 | -0.430749 | 0.304238 | 0.881214 | -0.221741 | -0.217917 | -0.114165 | 0.271248 | -0.028022 | -0.686047 | -0.791418 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | -0.462868 | -0.379963 | 11.251696 | -0.191002 | -0.480085 | -0.041656 | -0.239782 | 0.406168 | 0.566064 | -0.514352 | 0.681517 | 0.316103 | 1.301265 | -1.334408 |
| 32 | -0.127032 | 0.154516 | -0.246596 | -0.236367 | -0.203506 | -0.556104 | -0.084117 | -0.237094 | 0.531013 | -0.346859 | 0.876402 | -0.464698 | -0.680984 | -0.038133 | 0.255883 | -0.365143 | -1.940026 | -0.675773 | -0.017051 | -0.357217 | -0.166308 | -1.334988 | -0.297789 | -0.632161 | -0.244464 | -0.789806 | -0.806933 | -0.181093 | -1.208963 | -0.672756 | 0.309160 | -0.792007 | 0.074411 | -0.114165 | -0.870822 | -0.462126 | -1.156531 | -0.397564 | 0.182166 | -0.548926 | 0.113472 | -0.099701 | -0.325368 | -0.148450 | -0.394438 | -0.777576 | -0.151984 | 20.688705 | -0.239782 | -0.453998 | -0.396663 | -0.764028 | -0.547376 | -0.775766 | -0.823176 | 0.749396 |
| 33 | -0.485074 | -0.331026 | 0.166369 | -0.376572 | -0.203506 | -0.599155 | -0.084117 | -0.990491 | -0.106195 | -0.332065 | 0.775134 | -0.445083 | -0.201041 | -0.052154 | -0.130952 | -0.217155 | -0.572970 | -0.539902 | -0.255542 | -0.805144 | -0.166308 | -0.025378 | 0.666849 | 0.002383 | 0.898807 | -0.153187 | -0.785843 | -0.181093 | -0.333472 | -0.345623 | 0.584628 | -0.484045 | -0.217723 | -0.114165 | -0.317069 | -0.329585 | 0.660512 | -0.090704 | -0.182108 | 1.102205 | 0.032507 | -0.304459 | -0.193536 | -0.203543 | -0.285965 | -0.292774 | -0.458414 | -0.065843 | -0.116128 | -0.442410 | 0.551622 | -0.644814 | 0.479992 | -0.449716 | 0.320871 | 0.749396 |
| 34 | 0.051989 | -1.176496 | -0.246596 | -0.393849 | 0.319982 | -1.456866 | -0.084117 | -1.739376 | -0.106195 | 0.371299 | -0.946420 | 0.145557 | 1.435385 | -0.101287 | -0.130952 | -0.085370 | 1.598988 | 0.002690 | -0.075717 | 0.230686 | -0.024696 | -0.528260 | -1.506004 | 3.648325 | -1.327523 | -1.405008 | -0.974447 | 0.271786 | -0.479387 | 0.032107 | -0.514594 | 2.646601 | 0.007444 | -0.114165 | -1.158685 | -0.698026 | 0.297509 | -0.292637 | -0.106741 | -1.537362 | -0.420340 | -0.294616 | -0.150365 | -0.065501 | -0.332972 | 0.362264 | 0.254426 | -0.056372 | -0.151458 | 0.289400 | -0.061456 | -0.691318 | -0.006127 | 1.524139 | -0.826098 | 0.749396 |
| 35 | -0.689669 | 0.028367 | -0.246596 | -0.371734 | -0.203506 | -0.741555 | -0.048576 | -0.772442 | -0.073151 | -0.295360 | 1.787814 | -0.680258 | -0.443547 | -0.321829 | -0.130952 | -0.187702 | -0.487761 | 0.182562 | 0.301966 | -0.861135 | -0.166308 | 0.278203 | -0.322193 | 0.341165 | -1.327523 | -0.753270 | -0.273709 | -0.181093 | 0.189391 | -0.148784 | 1.037739 | -0.263369 | -0.149785 | -0.114165 | -0.825149 | 0.216389 | 0.419186 | -0.468473 | 0.270095 | 1.102205 | 0.310034 | 0.121502 | -0.403235 | 0.439000 | -0.379385 | -0.191002 | -0.023066 | -0.065843 | -0.239782 | -0.634053 | 0.734616 | -0.618465 | -1.268732 | 0.482485 | -0.787047 | 0.749396 |
| 36 | -0.357202 | 0.195736 | -0.246596 | -0.356444 | -0.203506 | -0.102411 | -0.037546 | 0.596003 | -0.106195 | 0.345397 | 0.572598 | 2.062345 | -0.426028 | -0.173059 | -0.130952 | -0.380755 | 0.291970 | 0.481657 | -0.307168 | 0.118704 | -0.166308 | 0.196948 | -0.856312 | -0.223472 | -1.327523 | -0.847663 | -1.076420 | -0.181093 | -0.114599 | -0.087449 | 0.044789 | 0.081745 | -0.217917 | -0.114165 | -0.571356 | -0.047478 | -1.266040 | 0.061193 | -0.427051 | 1.102205 | -0.157744 | 1.036775 | -0.089303 | -0.379963 | -0.242332 | 0.086556 | -0.480085 | -0.053212 | -0.213284 | 0.595137 | 1.882250 | -0.284766 | -0.248255 | 1.158364 | 1.301265 | -1.334408 |
| 37 | -0.408350 | -0.553438 | -0.246596 | -0.371734 | -0.203506 | -0.072606 | 0.009025 | 0.695253 | -0.106195 | -0.074020 | -0.136277 | -0.280379 | -0.795111 | -0.066183 | -0.130952 | -0.376819 | 0.283165 | -0.621811 | -0.531950 | 0.538635 | -0.166308 | 1.327373 | 0.074023 | 1.239207 | -1.327523 | -0.049102 | -0.620585 | 0.172625 | -0.114599 | -0.986462 | -0.684184 | 1.260773 | -0.217917 | -0.114165 | -0.430881 | -0.446318 | -0.621152 | 0.017250 | -0.427051 | -1.004938 | -0.063696 | -0.274773 | 1.025082 | -0.379963 | -0.320342 | 0.493642 | -0.480085 | -0.047395 | -0.239782 | 0.683382 | -0.396663 | 0.849511 | 0.082157 | -0.623232 | 1.301265 | -1.334408 |
| 38 | -0.425400 | -0.678887 | 0.147087 | -0.180605 | -0.203506 | 0.205571 | -0.049801 | 2.799049 | -0.015483 | 0.017960 | -0.541349 | 0.099709 | -0.820066 | -0.192479 | -0.130952 | 2.015256 | -0.286243 | 1.091292 | 0.154993 | -0.217240 | 0.055679 | 0.577815 | 0.329801 | 0.142198 | 0.628415 | 0.227874 | -0.151358 | -0.181093 | -0.455068 | -0.986462 | -0.703871 | -0.706959 | -0.217917 | -0.114165 | 0.344078 | -0.396463 | -0.304792 | -0.367757 | -0.427051 | -0.625061 | -0.420340 | -0.304459 | 1.102456 | -0.379963 | -0.124513 | 0.878523 | -0.480085 | -0.055564 | 0.140011 | -0.397842 | -0.396663 | 1.129521 | -0.379004 | 0.747270 | 1.301265 | -1.334408 |
| 39 | -0.195230 | -0.284100 | -0.246596 | -0.402617 | -0.100179 | 0.457254 | 0.081946 | -0.798006 | -0.018334 | -0.224023 | -0.338813 | 0.073718 | 1.397531 | 0.072930 | 0.272869 | 0.258820 | 0.078593 | -0.230105 | 1.558398 | -0.497194 | -0.166308 | -0.156392 | 0.259468 | 0.765987 | 1.010251 | 3.049004 | 0.427835 | -0.181093 | -0.552345 | 0.282043 | 0.767032 | -0.323798 | -0.117757 | -0.114165 | -0.518523 | 0.727707 | -0.568426 | -0.286369 | 0.094238 | 1.102205 | 1.040177 | -0.042371 | -0.437339 | 0.270007 | -0.021208 | 0.528800 | 0.115675 | -0.058652 | -0.045469 | -1.177785 | -0.036015 | -0.397422 | 0.531025 | 0.061110 | -0.809243 | 0.749396 |
| 40 | 7.579400 | 1.905037 | -0.246596 | 8.237573 | 5.375898 | 0.510240 | -0.084117 | 1.937380 | -0.062152 | -0.055835 | 2.294153 | -0.282321 | 0.597921 | -0.157376 | -0.130952 | -0.188227 | -1.355932 | 0.024245 | -0.522564 | 6.417670 | -0.166308 | 0.369781 | 2.102410 | -0.718201 | -1.327523 | -1.974855 | -0.365123 | 17.668369 | -1.476474 | 5.697848 | -0.667146 | -1.802730 | -0.175989 | -0.114165 | -1.113012 | 0.866328 | 1.124912 | -0.274624 | -0.420771 | -0.634082 | -0.420340 | 0.293597 | -0.108376 | 0.023019 | -0.281843 | -0.944111 | 10.166463 | -0.059523 | 0.351988 | 1.451738 | -0.242330 | 0.016421 | 0.796249 | 0.622291 | -0.831222 | 0.749396 |
| 41 | -0.485074 | -0.387487 | -0.246596 | -0.410003 | -0.203506 | -0.991582 | -0.068185 | -1.739376 | -0.091484 | 0.276020 | -1.554028 | 0.027120 | 2.183001 | -0.119034 | -0.130952 | -0.437169 | 0.213353 | -0.172203 | 2.233237 | -0.245236 | -0.166308 | 0.392940 | 0.097160 | 1.185432 | 0.630852 | -0.686110 | -0.601335 | -0.181093 | 2.001171 | -0.887767 | 1.600165 | -0.233379 | -0.178901 | -0.114165 | -0.713806 | -0.052342 | -1.389745 | -0.274422 | -0.207230 | -1.123795 | -0.063619 | -0.304459 | -0.376967 | -0.030836 | -0.488763 | -0.126239 | 0.004055 | -0.047260 | -0.014556 | -0.965641 | -0.396663 | 0.089341 | -1.182125 | -0.835983 | -0.807214 | 0.749396 |
| 42 | -0.429662 | -1.159860 | 0.107021 | 1.482799 | -0.203506 | -0.907136 | -0.084117 | -0.050625 | -0.106195 | 0.421905 | -0.136277 | 0.135606 | -0.868792 | -0.230851 | -0.130952 | -0.287016 | 0.344550 | -0.411910 | -0.439567 | 0.034718 | 0.009750 | 0.240090 | -0.673284 | 0.013138 | -1.327523 | -0.370465 | 1.731771 | -0.181093 | 0.858169 | -0.542843 | -0.396511 | -0.521198 | -0.217917 | -0.114165 | 2.460339 | -0.698026 | -0.446749 | 0.026812 | -0.427051 | 1.102205 | -0.420340 | -0.299036 | -0.404369 | -0.379963 | -0.140145 | -0.017066 | -0.480085 | -0.065843 | -0.239782 | 1.045276 | -0.396663 | 0.039991 | -0.719101 | -0.159544 | 1.301265 | -1.334408 |
| 43 | 0.051989 | 1.303219 | -0.246596 | 2.090740 | 0.764120 | 0.235375 | 20.624071 | 0.908791 | 2.616956 | 11.064471 | 1.180206 | -0.151595 | 2.648425 | -0.321829 | 2.177288 | -0.185603 | 0.302786 | 0.803198 | 0.795004 | 2.386332 | -0.166308 | -1.420213 | -1.287982 | 2.422256 | 1.615611 | -2.211225 | -0.675837 | -0.181093 | -0.552345 | 2.953496 | 0.208079 | -0.512693 | -0.217917 | -0.114165 | 0.082384 | 0.204837 | -0.809752 | -0.085094 | -0.427051 | 1.102205 | -0.420340 | 0.139620 | -0.394364 | -0.379963 | -0.385603 | 8.629809 | -0.480085 | -0.040935 | -0.239782 | 0.684274 | -0.008072 | -0.124041 | 4.979105 | 0.581797 | 1.301265 | -1.334408 |
| 44 | 0.034940 | -0.091923 | -0.246596 | 0.417228 | -0.203506 | 0.013496 | -0.084117 | 0.442617 | -0.106195 | 1.042949 | 2.091617 | 0.662195 | -0.042496 | -0.158573 | -0.130952 | 0.156225 | 0.005242 | -0.176291 | 0.399413 | 0.594626 | -0.139517 | 0.789555 | 0.594214 | -0.814996 | -1.327523 | 0.059828 | 0.244053 | -0.181093 | -1.087367 | 0.125317 | 0.015366 | -1.285283 | 0.512127 | -0.114165 | -0.544693 | 1.054805 | 2.230144 | -0.029903 | 2.116590 | -0.217439 | 0.354364 | -0.304459 | -0.163425 | 1.364434 | -0.360335 | 0.245690 | 0.392227 | -0.054916 | 0.581629 | 0.476586 | -0.208792 | 1.057988 | 0.465092 | -0.002673 | -0.816986 | 0.749396 |
| 45 | -0.127032 | -0.692009 | -0.117994 | -0.419419 | -0.203506 | 1.094742 | -0.013647 | -0.707779 | -0.087093 | 0.077167 | -1.047688 | -0.351600 | 0.667499 | -0.095411 | 0.106774 | -0.437169 | -0.058002 | -0.202306 | 0.066810 | -0.329222 | -0.166308 | -0.979795 | 0.033043 | -0.363287 | 1.272834 | -0.334510 | -0.477520 | -0.094410 | 0.955445 | -0.484939 | 0.100555 | -1.516254 | -0.114845 | -0.114165 | 0.611449 | -0.472462 | 2.540420 | 0.038980 | -0.182108 | -0.607269 | -0.159437 | -0.167508 | 0.093684 | 0.015590 | -0.576678 | -0.574958 | 0.320373 | -0.065843 | -0.239782 | 1.408061 | 0.085035 | -0.640420 | 0.267292 | -1.080800 | -0.821754 | 0.749396 |
| 46 | 0.034940 | -0.506971 | -0.246596 | 0.283373 | -0.203506 | 0.129403 | -0.084117 | 0.170432 | -0.106195 | 0.314712 | -0.440081 | -0.340238 | -0.209547 | -0.163704 | -0.130952 | -0.265828 | -0.407618 | 0.481954 | -0.556898 | 0.734603 | -0.166308 | 0.303347 | -0.499695 | 0.443338 | 0.637306 | -0.333444 | 0.426962 | -0.181093 | -0.041642 | -0.132179 | -0.307779 | -0.911074 | -0.217917 | -0.114165 | 1.388630 | -0.561836 | -0.262205 | -0.223855 | -0.427051 | 1.102205 | -0.345533 | 0.040648 | -0.309450 | -0.379963 | -0.510409 | -0.735017 | -0.480085 | -0.065843 | -0.195620 | -0.491435 | -0.396663 | 0.540534 | -0.056788 | -0.672748 | 1.301265 | -1.334408 |
| 47 | -0.664095 | -1.207828 | -0.246596 | -0.040487 | -0.203506 | -0.724996 | -0.084117 | 0.675704 | -0.106195 | 0.004546 | -0.541349 | -0.373200 | -0.918392 | -0.321829 | -0.130952 | -0.310238 | -0.796809 | -0.739695 | -0.412643 | 0.062714 | -0.128034 | 1.302759 | -0.546891 | -0.051392 | 0.730098 | 0.980498 | -0.709474 | -0.181093 | -0.065961 | -0.420004 | -0.678815 | 1.452354 | -0.217917 | -0.114165 | -0.498032 | -0.698026 | -1.101776 | -0.340511 | -0.427051 | 1.102205 | -0.139889 | 0.032337 | -0.420484 | -0.379963 | -0.288372 | 0.073603 | -0.480085 | -0.065843 | 0.087016 | -1.129652 | -0.396663 | 0.737421 | -0.234100 | -0.529235 | 1.301265 | -1.334408 |
| 48 | -0.050308 | 0.557086 | -0.246596 | -0.344436 | -0.203506 | -0.476624 | -0.084117 | 0.341864 | -0.031326 | 0.845949 | -1.148956 | -0.156427 | -0.959880 | -0.060515 | -0.130952 | 0.197355 | 0.338112 | -0.330298 | -0.416842 | -0.301227 | -0.166308 | 0.611693 | 0.099577 | -0.341777 | 0.627060 | 0.371887 | -0.631184 | 0.012903 | 0.031316 | 0.284415 | 0.408309 | -0.670255 | -0.013908 | -0.114165 | -0.638013 | -0.109493 | 0.404990 | 0.218843 | 0.646930 | 1.102205 | 0.122861 | -0.304459 | 0.672217 | 0.248961 | -0.080124 | 0.480689 | -0.083924 | -0.047463 | 0.215086 | 0.552352 | -0.126381 | 0.218125 | -0.483306 | -0.672398 | -0.809028 | 0.749396 |
| 49 | -0.412613 | -0.717299 | -0.246596 | -0.261851 | -0.203506 | -0.132215 | -0.084117 | -0.104761 | -0.106195 | -0.060725 | 0.167527 | -0.444510 | -0.777986 | 0.160947 | -0.130952 | -0.354975 | 0.761635 | -0.732857 | 0.482038 | -0.511192 | -0.166308 | 0.093725 | -1.506004 | 0.567020 | 0.775188 | -0.170825 | 1.392807 | -0.181093 | 0.846009 | 0.562666 | -0.057975 | -0.407950 | -0.217917 | -0.114165 | -0.743431 | -0.329585 | -0.677935 | -0.429365 | -0.427051 | 1.102205 | -0.337375 | 0.010258 | -0.309992 | -0.379963 | -0.358565 | 0.919232 | -0.480085 | -0.065843 | 0.290161 | -0.154500 | 0.067931 | 0.460639 | 0.381651 | -0.612252 | 1.301265 | -1.334408 |
| 50 | -0.127032 | 0.723452 | -0.221461 | -0.192786 | -0.004272 | 0.510240 | -0.084117 | 2.546413 | -0.106195 | 0.202798 | 0.775134 | -0.099084 | -0.659916 | 0.034491 | -0.130952 | -0.293051 | -0.138477 | -0.012622 | 1.249508 | 0.314672 | -0.131862 | 0.128133 | 0.513520 | -0.212717 | 0.715300 | 0.207523 | 0.058068 | -0.181093 | 2.633470 | 0.810928 | 0.456057 | 1.074563 | -0.217917 | -0.114165 | -0.320031 | 0.288131 | 0.252894 | 0.166027 | -0.427051 | 1.102205 | -0.151741 | 0.829182 | 0.224087 | -0.379963 | 0.426668 | 0.214233 | -0.480085 | -0.049089 | 0.144427 | 0.010403 | 2.692142 | 1.614045 | 0.656932 | 0.512628 | 1.301265 | -1.334408 |
| 51 | -0.314577 | -1.108256 | -0.246596 | -0.322537 | 0.174981 | 0.586408 | 0.238204 | -0.289726 | -0.106195 | -0.320607 | -2.060368 | -0.558821 | 0.038480 | -0.148931 | -0.130952 | -0.408962 | 1.263420 | -0.250916 | 0.257504 | 1.602461 | -0.020868 | 1.237913 | -0.538603 | 2.992270 | 0.792473 | -0.970742 | -0.192545 | -0.181093 | -0.357791 | 0.727186 | 0.212661 | -0.130426 | -0.217917 | -0.114165 | 0.573430 | -0.429295 | -0.004656 | -0.254932 | -0.427051 | -0.967535 | 0.028659 | 0.574965 | -0.454046 | -0.379963 | -0.458294 | 0.101359 | -0.480085 | -0.065843 | 0.020774 | -0.431714 | 0.444185 | 0.523977 | 0.016596 | 1.155357 | 1.301265 | -1.334408 |
| 52 | -0.306053 | 0.762883 | -0.246596 | -0.440411 | -0.203506 | -0.619024 | -0.084117 | 0.235095 | -0.106195 | -0.241140 | -0.237545 | -0.048337 | 0.417365 | 0.442723 | -0.130952 | -0.198525 | 0.344349 | 0.193414 | -0.588640 | -0.413208 | -0.166308 | 0.534144 | -0.143539 | 0.507868 | 0.375203 | 1.024303 | 0.394158 | -0.181093 | 3.508961 | -0.637493 | 0.721861 | 1.809553 | -0.179871 | -0.114165 | -0.041303 | 0.590910 | -0.262205 | -0.354053 | -0.131863 | -0.857907 | -0.125574 | -0.163951 | -0.117099 | -0.205400 | 0.294297 | -0.353837 | -0.296192 | -0.049157 | -0.239782 | 0.958814 | -0.016951 | -0.750370 | 0.080667 | -0.820386 | -0.797931 | 0.749396 |
| 53 | 0.367408 | -0.851291 | 0.086012 | 0.397230 | -0.203506 | -0.003062 | 0.073980 | -0.942369 | -0.106195 | -0.153128 | -0.642617 | 2.315413 | 0.685638 | -0.137000 | -0.130952 | 0.611668 | -0.738654 | 2.187030 | -0.339897 | 0.426654 | -0.059142 | 0.249089 | -0.528473 | -0.352532 | 0.647205 | 0.279238 | -0.310382 | -0.181093 | -1.160325 | -0.487227 | 0.318037 | -0.206522 | -0.121639 | -0.114165 | -0.576046 | -0.150836 | -0.394022 | -0.123185 | -0.156986 | 0.394554 | -0.191146 | -0.004850 | -0.338625 | -0.079120 | 0.191180 | -0.044822 | 0.061887 | -0.048005 | -0.239782 | -0.863134 | -0.396663 | -0.653248 | -1.211925 | -0.707087 | -0.819846 | 0.749396 |
| 54 | 0.256585 | -0.010711 | 0.110247 | -0.412120 | -0.203506 | 0.997049 | -0.084117 | 0.489235 | -0.106195 | -0.494678 | 1.281474 | -0.299442 | -0.709347 | -0.145118 | -0.130952 | -0.290034 | -0.749139 | -0.717396 | 0.012961 | 0.650617 | 0.136053 | 0.219710 | 0.870482 | -0.363287 | 0.725248 | 0.512798 | 0.203471 | 0.338337 | -0.187557 | -0.800742 | -0.557403 | -0.539550 | -0.115816 | -0.114165 | 0.047080 | -0.556364 | 0.376599 | -0.152058 | -0.069057 | 1.102205 | -0.096174 | 0.073275 | 5.750181 | 0.159822 | -0.205263 | 0.112462 | 0.253816 | -0.061918 | -0.107296 | 0.366948 | -0.396663 | -0.699356 | -0.073178 | -0.848292 | -0.816755 | 0.749396 |
| 55 | -0.416875 | -0.198690 | -0.246596 | -0.267337 | -0.203506 | -0.592531 | 0.136483 | 1.041124 | -0.027795 | -0.059187 | -0.237545 | -0.459535 | -0.731738 | -0.321829 | 0.851680 | -0.407912 | -0.301793 | -0.366421 | -0.085844 | -0.189245 | -0.166308 | 0.037879 | 1.960938 | -1.707660 | 1.928693 | 0.629868 | -0.473772 | 1.442084 | -1.549432 | -0.688598 | -1.264399 | 0.121135 | -0.217917 | -0.114165 | 0.516894 | 0.390273 | 0.244782 | 0.042667 | -0.427051 | 1.102205 | 1.671193 | 0.347653 | -0.377460 | -0.379963 | -0.398616 | -0.168798 | -0.480085 | -0.053967 | 0.290161 | 1.423215 | -0.396663 | 5.969436 | 0.205828 | -1.191756 | 1.301265 | -1.334408 |
| 56 | 1.654654 | 2.695364 | 0.729319 | 1.167490 | 0.367079 | 1.367951 | -0.084117 | 1.364438 | 0.245883 | -0.227573 | -0.845152 | 0.303730 | 0.204123 | 0.140588 | -0.130952 | -0.431265 | 1.165028 | 3.204352 | -0.053239 | 0.398658 | 0.070988 | -1.049404 | 1.478734 | -0.460081 | 0.695267 | -2.002669 | -1.129320 | 0.469609 | -1.354878 | 7.282662 | 0.744697 | 1.188259 | 0.509215 | -0.114165 | -0.584440 | 0.897944 | -1.012547 | 0.554387 | 0.006310 | -0.455455 | 0.740331 | 0.015152 | 2.091860 | -0.210352 | -0.009255 | -0.884899 | 0.084546 | -0.062252 | -0.067550 | -1.052103 | -0.396663 | -0.511855 | 1.460425 | -0.113280 | -0.829842 | 0.749396 |
| 57 | 0.819223 | 0.514824 | 1.779814 | -0.457947 | -0.203506 | -1.079340 | 0.065401 | -0.313787 | 0.051873 | -0.362705 | 0.775134 | -0.525703 | -0.900451 | -0.016174 | 0.386947 | -0.384560 | -0.793779 | 0.977571 | -0.430675 | 0.342668 | -0.166308 | 2.942682 | -0.083220 | -0.460081 | 0.789986 | -1.000979 | 0.064624 | -0.181093 | -0.455068 | -0.131629 | -0.911259 | -0.044484 | -0.215782 | -0.114165 | -0.057103 | 5.594654 | -0.872618 | -0.450649 | -0.420771 | 1.102205 | 1.176170 | -0.013865 | 4.594792 | -0.379963 | 0.174316 | -0.305727 | -0.298227 | -0.059465 | 0.391733 | -0.367536 | -0.396663 | 0.312447 | -0.177479 | -0.666383 | -0.813310 | 0.749396 |
| 58 | 0.580528 | 1.650234 | -0.246596 | 0.088098 | 0.814356 | 0.039989 | -0.084117 | -0.388976 | -0.065728 | -0.169582 | -0.136277 | -0.587768 | 0.550814 | -0.183869 | -0.130952 | -0.437169 | -1.345931 | 0.024393 | -0.417706 | -0.021273 | -0.166308 | -1.523436 | -0.719789 | 0.023893 | -1.327523 | -1.414603 | -0.999406 | 0.157318 | 0.055635 | 1.562153 | -0.755771 | -0.005988 | -0.217723 | -0.114165 | -0.031181 | 0.103303 | -0.750941 | -0.020498 | -0.395648 | 1.102205 | -0.420340 | -0.204624 | -0.336457 | -0.181877 | 0.610261 | -1.615803 | -0.213995 | -0.059184 | 0.334323 | -0.404973 | -0.396663 | -0.771181 | -1.409725 | 0.301206 | -0.659522 | 0.749396 |
| 59 | -0.399826 | -0.021186 | -0.246596 | -0.340635 | -0.203506 | -0.463378 | -0.084117 | -0.109272 | -0.106195 | 0.031248 | 0.167527 | -0.258647 | 0.371004 | -0.140737 | -0.130952 | -0.075071 | 0.102617 | -0.142547 | -0.865418 | 0.006723 | -0.166308 | 0.069110 | -0.083451 | 0.712212 | 0.224743 | 1.258638 | -0.492337 | -0.181093 | 0.225869 | -0.577450 | 0.170209 | 0.124716 | -0.007114 | -0.114165 | -0.681711 | -0.480366 | 0.492192 | -0.048029 | 0.232411 | 1.102205 | -0.420340 | -0.218534 | -0.203689 | 0.143108 | 2.353612 | -0.272420 | 0.074945 | -0.065843 | 0.069352 | -0.224026 | -0.396663 | -0.561946 | -0.326109 | -0.874378 | -0.818512 | 0.749396 |
| 60 | -0.271953 | -0.887306 | -0.246596 | -0.173047 | -0.203506 | -0.410392 | -0.066959 | 0.520814 | -0.073423 | -0.133017 | -0.642617 | -0.275261 | -0.747511 | -0.146109 | -0.130952 | 0.053238 | -0.378197 | -0.432870 | -0.406220 | -0.049268 | -0.105070 | -0.133895 | 0.791631 | -0.728956 | 0.727375 | 0.194924 | -0.475142 | -0.181093 | 0.858169 | -0.434236 | 0.065048 | 1.164982 | -0.217917 | -0.114165 | -0.143512 | -0.137460 | 0.634148 | -0.153565 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | -0.321278 | -0.379963 | -0.188544 | 0.182777 | -0.480085 | -0.052283 | -0.239782 | 1.826111 | -0.396663 | 1.286069 | 1.001871 | -0.591410 | 1.301265 | -1.334408 |
| 61 | -0.391301 | -0.621230 | 0.119626 | -0.258785 | -0.203506 | -0.824345 | -0.084117 | 0.256148 | -0.106195 | 0.091323 | -0.035009 | -0.566499 | -0.397750 | -0.015270 | -0.130952 | -0.232767 | -0.082842 | -0.522212 | -0.051263 | -0.329222 | -0.062969 | 0.428274 | -0.491407 | 0.583153 | -1.327523 | -0.600536 | -0.526014 | -0.181093 | 2.147086 | -0.468123 | -0.474648 | -0.472407 | -0.217917 | -0.114165 | 1.072869 | -0.698026 | 0.982955 | 0.260035 | -0.427051 | 1.102205 | -0.420340 | 0.009236 | -0.287815 | -0.379963 | -0.379879 | -0.357538 | -0.480085 | -0.060849 | -0.239782 | -0.618009 | -0.396663 | 0.643419 | 0.400648 | -0.931588 | 1.301265 | -1.334408 |
| 62 | -0.271953 | -0.917308 | -0.246596 | -0.152573 | -0.203506 | -0.612401 | -0.057767 | -0.020549 | -0.106195 | -0.400430 | 0.268795 | 0.004593 | -0.968076 | -0.183929 | -0.130952 | 0.232122 | -0.456660 | 0.049813 | -0.223060 | -0.609176 | -0.166308 | 0.370310 | -0.864485 | -0.513856 | 0.770307 | 1.080997 | -0.751426 | -0.181093 | -0.479387 | -0.379382 | 0.641969 | -1.692616 | 0.397603 | -0.114165 | -0.882178 | 0.373250 | -1.122056 | -0.570613 | 0.257534 | -1.357948 | 0.270937 | -0.011470 | -0.260709 | 0.246485 | -0.078717 | -0.914505 | 0.618998 | -0.046558 | -0.151458 | -1.385473 | -0.396663 | 0.015600 | -1.648873 | -0.206612 | -0.827538 | 0.749396 |
| 63 | 0.239535 | 0.161583 | 0.345241 | -0.144323 | -0.203506 | 1.063282 | -0.026516 | 0.711795 | -0.075777 | 0.232468 | 1.889081 | -0.194442 | 1.948226 | -0.124231 | -0.130952 | -0.322308 | -0.918539 | -0.106572 | 1.486517 | 1.602461 | 0.021233 | 0.314728 | 0.496829 | 1.271472 | -1.327523 | -0.157742 | -0.397309 | -0.181093 | 0.104274 | -0.360152 | -0.309139 | 0.526678 | -0.127462 | -0.114165 | 1.186681 | -0.328977 | 1.487915 | 0.046269 | 0.144483 | 1.102205 | -0.095559 | -0.167666 | -0.039675 | 0.120824 | -0.121347 | 0.365965 | -0.081637 | -0.058187 | -0.147042 | 0.737756 | -0.284269 | -0.494075 | 1.904823 | -0.900046 | -0.804311 | 0.749396 |
| 64 | 0.452656 | 0.364358 | -0.246596 | -0.166438 | -0.203506 | -0.248122 | -0.084117 | 0.323818 | -0.106195 | 0.276605 | 0.471331 | 0.030915 | -0.857977 | -0.034765 | -0.130952 | 0.436917 | -0.556733 | 1.106455 | -0.250355 | 0.006723 | -0.097416 | -1.430800 | -0.016916 | -2.051820 | -1.327523 | 0.502137 | -0.053173 | -0.181093 | -1.281921 | -0.144548 | -0.519247 | -0.723969 | -0.217917 | -0.035059 | 0.986214 | -0.152052 | 0.415130 | 0.122426 | -0.427051 | 1.102205 | -0.420340 | -0.032458 | 1.397957 | -0.379963 | -0.488909 | 0.223485 | -0.480085 | -0.047966 | -0.133793 | 1.130847 | -0.383879 | 0.487272 | -0.649070 | 0.255467 | 1.301265 | -1.334408 |
| 65 | -0.220805 | -0.491965 | -0.246596 | -0.354889 | -0.203506 | -0.622336 | -0.084117 | 1.331354 | -0.026618 | 0.236646 | -0.338813 | 0.068114 | -0.087420 | 0.103937 | -0.130952 | -0.222862 | -0.408328 | -0.453533 | -0.035577 | 0.062714 | -0.166308 | -0.185506 | 0.378264 | 0.669192 | 0.595418 | 0.234658 | 0.479768 | -0.181093 | 2.414597 | -0.640119 | 0.708259 | 1.823877 | 0.637327 | -0.114165 | 0.656135 | -0.158132 | -0.099969 | 0.678157 | 1.061450 | -1.057502 | -0.159283 | -0.304459 | -0.195803 | 0.534329 | -0.173453 | -0.209506 | 0.377097 | -0.064478 | 0.321074 | -0.108149 | 0.032703 | -0.628126 | -0.091058 | -1.346109 | -0.824752 | 0.749396 |
| 66 | -0.229329 | -1.070469 | -0.246596 | -0.219047 | -0.203506 | 0.036678 | -0.084117 | -0.056640 | -0.106195 | 0.437585 | -0.440081 | -0.454438 | 0.547400 | 0.241411 | -0.130952 | -0.435135 | -0.042605 | -0.489359 | 0.216376 | -0.861135 | -0.135689 | -0.112986 | 0.213538 | 1.142412 | 0.641994 | -0.357866 | -0.779542 | -0.181093 | 0.274508 | -0.013068 | 0.476102 | -0.821550 | -0.005173 | -0.114165 | -0.686155 | 0.140998 | -0.154724 | -0.100771 | 0.043993 | 0.517501 | -0.420340 | -0.290162 | -0.186440 | -0.048788 | -0.235498 | -0.353837 | 0.026811 | -0.041578 | 0.263664 | 0.790346 | -0.396663 | -0.250541 | -0.732139 | -0.540635 | -0.822572 | 0.749396 |
| 67 | -0.629996 | 0.420551 | -0.246596 | -0.402185 | -0.203506 | -0.393834 | -0.084117 | 0.654651 | -0.106195 | 0.143989 | 0.673866 | -0.151705 | -0.557421 | 0.057642 | -0.130952 | -0.259924 | 0.376823 | -0.288377 | 0.047296 | -0.301227 | -0.166308 | 0.641866 | 0.039604 | 0.195973 | -0.582901 | -0.571462 | -0.390620 | -0.181093 | 2.074129 | -0.454590 | 0.592073 | -0.057017 | -0.137168 | -0.114165 | -0.681218 | -0.558188 | 0.845055 | 5.779754 | 0.169605 | -0.897021 | -0.125574 | -0.304459 | -0.320539 | 0.000115 | -0.336600 | -0.135491 | -0.206080 | -0.065843 | -0.222117 | 0.448954 | -0.396663 | -0.528713 | -1.182870 | -0.955157 | -0.799579 | 0.749396 |
| 68 | 1.066442 | -0.232945 | 0.047297 | 0.091078 | -0.203506 | 2.106444 | -0.084117 | 2.660701 | -0.056041 | 1.352516 | -0.338813 | 0.389248 | -0.275257 | -0.089230 | -0.130952 | -0.277833 | 2.665979 | -0.220442 | 0.350628 | 0.538635 | 0.537926 | -0.447534 | 1.517296 | 0.185218 | 0.688477 | -0.266962 | 0.873164 | -0.181093 | 0.152912 | -0.246293 | -0.614673 | 1.805077 | -0.217917 | -0.114165 | 0.805745 | 0.880312 | 0.970788 | 1.049219 | -0.427051 | -0.882958 | -0.420340 | -0.244558 | 0.172439 | -0.379963 | -0.217880 | 1.709349 | -0.480085 | -0.065843 | 0.369652 | 1.112129 | 0.147345 | 2.922227 | 0.295230 | 0.213994 | 1.301265 | -1.334408 |
| 69 | 0.205436 | 0.408475 | -0.246596 | 0.046590 | 0.198958 | 0.288361 | -0.084117 | -0.868684 | 0.022088 | 0.068631 | 1.889081 | 0.096995 | -0.007514 | -0.198767 | -0.130952 | -0.009408 | -0.783625 | -1.250474 | 1.881120 | 1.406493 | -0.166308 | -2.397656 | 0.184530 | 0.142198 | 0.859449 | -0.313093 | 0.270974 | 0.208895 | 1.636383 | 0.809912 | 0.755936 | -0.010465 | -0.217917 | -0.114165 | -1.400381 | 1.288880 | -1.389745 | 0.339036 | -0.427051 | -0.635192 | -0.420340 | 0.038887 | 0.409736 | -0.379963 | 0.370836 | -2.200526 | -0.480085 | -0.054006 | -0.155874 | -0.366644 | -0.396663 | 1.307203 | -0.371182 | 2.240442 | 1.301265 | -1.334408 |
| 70 | 3.393716 | 1.072103 | -0.246596 | 7.598404 | 4.381156 | 0.612901 | -0.084117 | 0.274193 | -0.106195 | -0.132177 | 0.370063 | -0.251101 | 0.452629 | -0.199768 | -0.130952 | -0.437169 | -0.851934 | 0.015177 | -0.618405 | 0.594626 | -0.166308 | -0.904363 | -0.079076 | -0.782731 | 0.674780 | -1.911474 | -0.850591 | 1.415464 | 0.055635 | 3.198941 | -0.437709 | -0.591474 | 0.188936 | -0.114165 | -0.606413 | -0.142324 | -0.542062 | 0.005476 | -0.420771 | 1.102205 | -0.420340 | 0.031950 | -0.213742 | -0.379963 | 1.263957 | -0.115136 | 1.853031 | -0.065843 | -0.111712 | 0.088843 | -0.396663 | -0.198827 | -0.446428 | 2.835613 | -0.832396 | 0.749396 |
| 71 | 3.214695 | 2.400907 | -0.246596 | 0.802337 | 0.360514 | 4.144750 | 1.121216 | 1.460680 | 0.191337 | -0.338997 | 0.167527 | 7.517015 | 2.648425 | -0.163244 | 0.475094 | -0.437169 | 0.363995 | 0.098944 | -0.497739 | 0.706608 | -0.166308 | -0.781024 | 0.124557 | 0.206728 | -1.327523 | 0.137552 | -0.539206 | 0.388250 | -0.406430 | 1.242475 | -0.852772 | 2.260753 | -0.166284 | -0.114165 | -0.480380 | 1.808710 | -1.178838 | -0.271515 | -0.295159 | 1.102205 | -0.206846 | -0.191806 | -0.171507 | -0.308776 | 2.165836 | 1.562243 | -0.244050 | -0.012078 | 0.873098 | 2.304773 | 1.356540 | -0.767239 | 1.323715 | 2.278034 | -0.820785 | 0.749396 |
| 72 | -0.246379 | -0.002716 | -0.246596 | -0.207903 | -0.203506 | 0.122780 | -0.084117 | -0.709283 | -0.106195 | -0.316371 | 0.977670 | -0.045028 | 0.087742 | -0.215959 | -0.130952 | -0.155821 | -0.746287 | -0.463493 | -0.686333 | -0.021273 | 0.021233 | -0.808021 | 0.102801 | 0.131443 | 0.253860 | 0.475389 | -0.892477 | -0.181093 | 0.006997 | -0.580224 | 0.194120 | -0.170712 | -0.047877 | -0.114165 | -0.264977 | -0.135636 | -0.515699 | -0.025002 | 0.207289 | -0.743363 | 0.662137 | -0.304459 | -0.414472 | 0.084921 | -0.191404 | -0.135491 | -0.019005 | -0.048378 | -0.239782 | -0.109040 | -0.157974 | -0.327839 | -0.644973 | -0.454472 | -0.815822 | 0.749396 |
| 73 | 0.512329 | 2.724464 | -0.246596 | 0.669346 | -0.203506 | -0.019620 | -0.081053 | 3.332893 | -0.061654 | -0.703351 | -0.136277 | 1.667077 | 2.648425 | -0.321829 | -0.130952 | 1.039822 | -0.542532 | 1.128307 | -0.610994 | -0.133254 | 0.216428 | -0.667479 | 0.204675 | 0.841272 | -1.327523 | -0.128958 | -0.891778 | 0.691723 | -0.430749 | 1.344346 | 4.264140 | -0.338121 | -0.184724 | -0.114165 | 0.230019 | 1.055413 | -0.049271 | 0.352558 | -0.295159 | -1.037945 | -0.256949 | 0.110884 | -0.180969 | -0.235112 | 1.978790 | -0.179900 | -0.146553 | -0.051630 | 0.109097 | 0.923159 | -0.181199 | 1.424178 | -0.920626 | 1.403566 | -0.814408 | 0.749396 |
| 74 | -0.442450 | -0.750526 | -0.246596 | -0.393979 | -0.203506 | -0.622336 | -0.084117 | -1.739376 | -0.079805 | -0.401312 | -0.237545 | -0.292360 | -0.472192 | -0.195775 | -0.130952 | -0.029678 | -0.654131 | -0.668340 | -0.365834 | -0.637172 | -0.166308 | 0.306524 | -0.175540 | -1.417276 | 0.647236 | 0.475583 | -0.829595 | -0.181093 | -1.768305 | -0.986462 | -2.110059 | -0.731131 | -0.188606 | -0.114165 | -1.045120 | -0.698026 | 0.015624 | -0.346329 | -0.232353 | -1.073162 | -0.420340 | -0.304459 | -0.341977 | -0.003599 | 1.400340 | -0.642498 | 0.028264 | -0.054669 | 0.029606 | -0.339903 | -0.396663 | -0.222062 | -0.821912 | -1.195043 | -0.802768 | 0.749396 |
| 75 | -0.391301 | 0.387773 | -0.193249 | -0.364953 | -0.203506 | -0.244811 | -0.084117 | -0.303261 | -0.106195 | 0.191216 | -0.946420 | -0.660423 | -0.310515 | 0.455756 | -0.130952 | -0.319028 | 0.769908 | 2.054578 | 0.136344 | 0.006723 | -0.166308 | -0.894305 | -0.292724 | -0.449327 | -1.327523 | -0.371240 | -0.796267 | -0.181093 | 0.250189 | -0.062542 | -0.403562 | -1.072216 | -0.076994 | -0.114165 | -0.519017 | -0.698026 | 0.021708 | 0.086310 | -0.219792 | -0.255929 | -0.200074 | -0.266532 | 0.667485 | -0.232017 | -0.650473 | 0.203131 | -0.025770 | -0.044734 | -0.032221 | -0.806978 | -0.396663 | -0.666860 | -1.077078 | -0.593019 | -0.825818 | 0.749396 |
| 76 | -0.033259 | -0.615522 | 0.123602 | -0.377695 | -0.203506 | 0.785105 | -0.071248 | -0.937858 | -0.089311 | -0.374752 | -0.136277 | -0.320204 | 0.368588 | 0.029739 | 0.067346 | -0.215187 | -0.847023 | -0.393923 | 1.765518 | -0.049268 | -0.166308 | -0.741191 | -0.475982 | 0.518623 | -1.327523 | 0.642661 | -0.759540 | -0.181093 | 1.928213 | -0.846849 | 0.661083 | -0.225322 | -0.113874 | -0.114165 | 0.450236 | -0.402543 | -0.710382 | -0.235867 | -0.207230 | -0.060294 | -0.420340 | -0.300603 | 0.263366 | -0.010408 | -0.467987 | -0.536100 | 0.359799 | -0.053386 | -0.164706 | 0.575527 | 0.631578 | -0.653276 | 0.458387 | -1.252148 | -0.822921 | 0.749396 |
| 77 | -0.289003 | 0.394316 | 0.131930 | 0.875031 | -0.203506 | -0.738243 | -0.084117 | -0.083708 | -0.106195 | -0.313427 | -0.541349 | 0.090552 | -0.411438 | 0.184671 | 0.282798 | -0.116201 | -0.091470 | -0.084125 | -0.251343 | 0.062714 | -0.166308 | 0.015911 | -0.013462 | 0.604663 | 0.571462 | -0.815488 | -0.114645 | -0.181093 | -1.111686 | 0.032933 | 1.031619 | 0.704830 | -0.012938 | -0.114165 | -0.703684 | 0.437697 | 0.830859 | -0.211111 | -0.006251 | 1.102205 | -0.420340 | -0.304459 | -0.296390 | -0.236970 | -0.624125 | -1.304937 | -0.220868 | -0.046602 | -0.116128 | -0.995947 | 0.081385 | -0.604220 | -0.234472 | -0.069394 | -0.823284 | 0.749396 |
| 78 | 0.768074 | -0.492789 | 0.680325 | -0.346207 | -0.203506 | -0.724996 | -0.084117 | 0.796007 | -0.106195 | 0.159835 | 1.180206 | -0.454173 | 0.498539 | -0.121443 | -0.130952 | -0.315092 | 0.034994 | -0.942163 | -0.336069 | -0.357217 | -0.166308 | 0.095049 | 0.157364 | -0.858016 | -1.327523 | -0.315709 | -0.587808 | -0.181093 | 0.979765 | -0.986462 | -2.887210 | -0.764255 | -0.166284 | -0.114165 | 1.160018 | -0.698026 | 1.066101 | -0.233505 | 0.207289 | 1.102205 | -0.420340 | -0.304459 | 2.682615 | 0.339338 | -0.484385 | 0.167973 | -0.096350 | -0.054427 | 0.117930 | -0.533329 | -0.396663 | -0.619240 | 2.065373 | -1.139513 | -0.778067 | 0.749396 |
| 79 | 0.657251 | -0.828450 | -0.246596 | 0.492514 | -0.203506 | -0.069294 | -0.084117 | 0.227576 | -0.089583 | -0.438869 | 0.471331 | 0.737917 | -0.789450 | 0.021971 | -0.130952 | -0.297315 | -0.123080 | 0.213483 | -0.699919 | 0.734603 | -0.166308 | -0.568755 | 0.140672 | 0.862782 | 0.800873 | 1.002013 | -0.429832 | 0.836970 | -0.552345 | -0.025987 | -0.589975 | -0.223531 | 1.233242 | -0.114165 | 0.197431 | 0.710075 | -1.379605 | 0.221920 | 2.681843 | -1.024252 | -0.420340 | -0.117590 | -0.127399 | 2.603092 | -0.117826 | -0.063325 | 1.244583 | -0.057060 | -0.147042 | -0.751713 | -0.396663 | -0.496712 | -0.072433 | -0.362434 | -0.822973 | 0.749396 |
| 80 | -0.391301 | 1.204553 | -0.246596 | -0.311869 | -0.203506 | -0.645517 | -0.084117 | -0.776953 | -0.106195 | -0.217064 | 0.370063 | 0.345981 | 0.310871 | -0.175257 | -0.130952 | -0.149721 | 1.184602 | -0.447439 | -0.268017 | 0.426654 | -0.166308 | 0.465328 | 1.054661 | 3.669835 | 1.417051 | -1.202945 | -0.536627 | -0.181093 | 0.979765 | 0.508681 | 1.228197 | -0.295150 | 0.508245 | 0.279337 | 0.115960 | 0.055272 | 0.240726 | -0.453053 | 1.187062 | 1.102205 | -0.420340 | -0.000888 | -0.271108 | 0.570851 | 1.880792 | -0.575884 | 0.274790 | -0.058211 | -0.239782 | 0.736864 | 0.945665 | -0.728618 | 1.302110 | -0.384674 | -0.822601 | 0.749396 |
| 81 | -0.109982 | -0.171788 | -0.246596 | -0.273297 | -0.203506 | -0.844215 | -0.084117 | 0.257652 | -0.046671 | 0.030169 | 0.268795 | -0.101180 | 2.648425 | -0.061580 | -0.130952 | 0.365219 | -0.171767 | 0.205753 | 0.681131 | 0.258681 | -0.166308 | 0.111458 | 0.277541 | -0.879526 | -1.327523 | 0.217214 | 4.169752 | -0.181093 | -0.406430 | -0.760226 | 0.122318 | -1.166216 | 0.286961 | -0.114165 | -0.805152 | 0.143430 | 2.203781 | 0.060711 | 0.445951 | -1.180223 | -0.420340 | -0.190644 | -0.105517 | 0.512663 | -0.374634 | -0.500018 | 0.618846 | -0.048223 | -0.147042 | 0.867895 | -0.396663 | -0.143232 | -0.392787 | -0.317254 | -0.824785 | 0.749396 |
| 82 | -0.527698 | 0.756573 | -0.246596 | 0.044171 | -0.203506 | -0.552792 | -0.084117 | -0.020549 | -0.061427 | 0.135604 | 0.268795 | 0.022200 | -0.892719 | -0.005468 | -0.130952 | -0.095308 | -0.131044 | 0.147703 | -0.049163 | -0.315224 | -0.166308 | 0.285482 | 0.253827 | 1.475817 | 0.702765 | 0.482948 | -0.419535 | -0.181093 | 0.225869 | 0.372795 | 0.600556 | -0.187722 | -0.217917 | -0.114165 | -0.293985 | 1.221394 | -0.614055 | -0.174072 | -0.427051 | 0.595034 | -0.420340 | 0.553678 | -0.346856 | -0.379963 | -0.392475 | 0.180926 | -0.480085 | -0.065843 | -0.239782 | -0.592159 | 1.326302 | 0.512784 | -0.553337 | 0.261027 | 1.301265 | -1.334408 |
| 83 | -0.655570 | 0.142819 | -0.246596 | -0.394411 | -0.203506 | -0.883955 | -0.084117 | 0.456151 | -0.038749 | 0.016899 | -2.060368 | -0.297103 | -0.785084 | -0.146377 | -0.130952 | -0.287344 | -0.193933 | -0.429154 | 0.104109 | -0.385213 | -0.166308 | 0.368457 | -0.042010 | 1.336002 | 0.615967 | -0.319101 | -0.799491 | -0.181093 | 1.830937 | -0.392556 | 1.531727 | 0.089802 | -0.217917 | -0.114165 | -0.166225 | -0.319857 | -0.550174 | -0.310030 | -0.427051 | -0.739535 | 0.135945 | -0.304459 | -0.303634 | -0.379963 | 0.038356 | 0.787854 | -0.480085 | -0.065843 | -0.036637 | 0.672686 | -0.396663 | 0.852684 | 1.402314 | -0.759261 | 1.301265 | -1.334408 |
| 84 | -0.612946 | -0.927449 | -0.246596 | -0.354025 | -0.203506 | 0.073105 | -0.035095 | -0.268673 | -0.046082 | 0.001645 | 0.471331 | -0.301737 | 0.133821 | -0.121861 | 0.285141 | 0.045497 | 0.497689 | 0.304906 | 0.883929 | -0.413208 | -0.112725 | 1.005794 | -0.094271 | 0.389563 | 0.674450 | -0.710629 | -0.709528 | -0.181093 | 0.931126 | 0.646959 | 0.524996 | 0.976087 | -0.217917 | -0.114165 | -0.790339 | 0.268676 | -0.049271 | 0.000566 | -0.427051 | 1.102205 | 0.549080 | 2.700015 | -0.203689 | -0.379963 | -0.011957 | 0.136517 | -0.480085 | -0.040601 | 0.184172 | -0.114388 | 1.110742 | -0.005342 | -0.466915 | 1.368947 | 1.301265 | -1.334408 |
| 85 | -0.416875 | -1.213877 | -0.246596 | -0.260771 | -0.203506 | -0.218318 | -0.084117 | -0.304764 | -0.106195 | -0.126884 | -0.136277 | -0.299376 | -1.010888 | -0.091700 | -0.130952 | -0.434545 | 0.313934 | -0.347542 | 1.116491 | -0.049268 | -0.166308 | 1.273909 | 0.352478 | -0.384797 | 1.043472 | 0.601763 | -0.262183 | -0.181093 | -0.406430 | -0.721659 | -0.738161 | -0.860045 | 0.079264 | -0.114165 | -0.572343 | -0.108277 | 0.114993 | -0.525101 | 0.169605 | -1.432903 | 0.019039 | -0.295585 | -0.244643 | 0.060160 | 0.667834 | 0.068052 | 0.140203 | -0.065843 | -0.102880 | -0.252550 | -0.129011 | 0.378527 | 0.373828 | -0.548468 | -0.823516 | 0.749396 |
| 86 | -0.510648 | -0.356962 | -0.246596 | -0.412163 | -0.203506 | -0.327601 | -0.084117 | -0.047617 | -0.095603 | -0.386925 | -0.035009 | -0.371877 | -0.467291 | -0.215865 | -0.130952 | -0.139619 | -0.066783 | -0.487873 | -0.159701 | -0.329222 | -0.166308 | 0.643719 | -0.127769 | 0.174463 | 0.716786 | 0.066999 | -0.564044 | -0.181093 | -0.284834 | -0.766601 | 0.088457 | 1.147973 | -0.217917 | -0.114165 | 0.492700 | -0.276082 | 1.254701 | -0.356719 | -0.427051 | 1.102205 | -0.170289 | -0.063535 | -0.413585 | -0.379963 | 1.401375 | -0.957064 | -0.480085 | -0.043505 | -0.239782 | -0.846198 | -0.122906 | -0.142423 | 0.730688 | -0.963200 | 1.301265 | -1.334408 |
| 87 | -0.352939 | 0.505856 | -0.246596 | -0.464901 | -0.203506 | -0.539545 | -0.084117 | -0.170927 | -0.106195 | -0.507649 | 0.268795 | -0.373686 | -0.674914 | 0.017590 | -0.130952 | -0.171762 | -0.532579 | -0.431978 | -0.125984 | -0.581181 | -0.166308 | -0.507483 | -0.471723 | 1.465062 | 0.838365 | 1.358943 | -0.100553 | -0.181093 | 1.113520 | -0.369089 | 0.707329 | 0.472069 | -0.217917 | -0.114165 | -0.202639 | -0.187923 | -0.218604 | -0.248478 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | -0.479919 | -0.379963 | -0.090614 | -0.426927 | -0.480085 | -0.065843 | -0.239782 | -1.024025 | -0.070558 | -0.326215 | -0.880768 | -0.035404 | 1.301265 | -1.334408 |
| 88 | 0.162812 | -0.085187 | -0.246596 | 0.630558 | -0.203506 | 2.854872 | -0.084117 | 0.308780 | -0.106195 | -0.164768 | -0.035009 | -0.069430 | -1.022352 | -0.179364 | -0.130952 | -0.125056 | 0.996953 | 0.902797 | -0.239487 | -0.469199 | -0.166308 | -0.813844 | -1.020692 | 0.550888 | 0.627756 | -1.499692 | -0.839052 | -0.181093 | -0.479387 | -0.040728 | 0.145583 | -0.623702 | -0.217917 | -0.114165 | -0.401502 | -0.075446 | -0.546118 | -0.290090 | -0.427051 | 1.102205 | -0.420340 | 0.383572 | 2.704644 | -0.379963 | 0.026570 | -0.333482 | -0.480085 | -0.051654 | -0.155874 | -0.015447 | 1.691828 | -0.067875 | -1.239490 | 0.497802 | 1.301265 | -1.334408 |
| 89 | -0.629996 | -0.066736 | -0.246596 | -0.448963 | -0.203506 | -0.228253 | -0.076763 | -0.053632 | -0.106195 | -0.565119 | 1.990349 | -0.568661 | 0.018821 | 0.227576 | -0.130952 | 0.973372 | 1.192058 | -0.132884 | -0.026561 | -1.001112 | -0.166308 | -0.090224 | -0.528243 | 0.475603 | -1.327523 | -1.049048 | -0.094938 | -0.181093 | -0.065961 | -0.498240 | 0.588995 | 0.984144 | -0.217723 | -0.114165 | -1.326564 | 0.040072 | 1.820498 | -0.337830 | -0.094180 | 1.102205 | -0.420340 | 0.555175 | -0.403334 | 0.799269 | -0.488834 | -0.611041 | -0.330779 | -0.048547 | -0.120545 | 0.153912 | 6.152705 | -0.628913 | -1.082293 | 0.108877 | 0.724563 | 0.749396 |
| 90 | -0.391301 | -1.594110 | -0.246596 | -0.455183 | -0.203506 | -0.513052 | -0.084117 | -0.304764 | 0.024668 | 0.009219 | -0.541349 | -0.213086 | -0.879946 | 0.078429 | -0.130952 | -0.287410 | -0.127328 | -0.168413 | -0.455005 | -0.385213 | -0.078279 | 0.613811 | -1.506004 | -0.836506 | 0.883120 | 0.195796 | -0.415861 | -0.181093 | -1.160325 | -0.517492 | -0.567354 | 0.906259 | -0.217723 | -0.114165 | -0.748616 | -0.359984 | 1.479803 | -0.279072 | -0.332842 | -1.519088 | 0.013651 | -0.293595 | -0.398061 | -0.249350 | -0.380416 | 0.710138 | -0.422009 | -0.064507 | 0.042854 | -0.101018 | -0.168447 | 0.537760 | 0.471052 | -1.277150 | -0.371171 | 0.749396 |
| 91 | -0.493599 | -0.750271 | -0.246596 | -0.377263 | -0.203506 | -0.522987 | 0.015766 | -1.007032 | -0.014622 | 0.129619 | -0.338813 | -0.063186 | -0.879355 | -0.283692 | -0.021402 | -0.105639 | -1.086258 | -0.468994 | -0.570978 | -0.693162 | 0.162845 | -1.109750 | 0.317600 | -0.019127 | -1.327523 | -0.790679 | -0.348372 | -0.181093 | 0.079954 | -0.185868 | -0.133177 | 0.268850 | -0.217723 | -0.114165 | 0.153980 | -0.698026 | -0.777304 | -0.216276 | -0.420771 | 1.102205 | 0.747874 | -0.304459 | -0.168599 | -0.355821 | 0.088678 | -0.194703 | -0.292729 | -0.047512 | -0.239782 | -0.001185 | -0.396663 | 0.462596 | 0.796994 | -0.450835 | -0.774863 | 0.749396 |
| 92 | 0.213961 | -0.377748 | -0.246596 | -0.258310 | -0.203506 | -0.016308 | 0.020055 | -0.838608 | -0.106195 | 0.060306 | 0.673866 | 0.060502 | -0.948755 | -0.054234 | 0.381444 | -0.419917 | -1.307043 | -0.286445 | -0.275303 | 0.398658 | -0.166308 | -0.634659 | 0.718189 | -0.212717 | 0.661580 | -0.363100 | -0.215919 | -0.181093 | 0.006997 | -0.110704 | -0.202116 | 0.155154 | 0.946931 | -0.114165 | 0.723780 | 0.609149 | -1.004435 | -0.187678 | 1.048889 | -0.419128 | 1.327786 | -0.304459 | -0.269777 | 0.396287 | -0.543512 | -0.035570 | 0.381415 | -0.052060 | -0.014556 | -0.383580 | -0.396663 | -0.555720 | 0.299327 | 0.975687 | -0.826867 | 0.749396 |
| 93 | -0.007684 | -0.477335 | 0.400463 | -0.352341 | 0.177265 | -0.539545 | 0.089912 | -1.083725 | -0.041012 | -0.354253 | -0.136277 | -0.485062 | 0.071029 | 0.299364 | 0.231600 | -0.400106 | -0.159092 | 0.426208 | -0.322853 | 0.090709 | -0.089761 | -0.243735 | 0.328650 | 0.604663 | -1.327523 | 0.023388 | -0.742439 | -0.078272 | 1.660702 | 0.153061 | 0.460138 | -0.935245 | -0.038172 | -0.114165 | -0.382986 | 0.617661 | -0.639404 | -0.132948 | 0.081677 | -0.208506 | 1.100131 | 0.017336 | -0.104236 | -0.005456 | -0.537310 | -0.272420 | 0.002818 | -0.054161 | 0.126762 | -0.611769 | -0.396663 | -0.578034 | -0.477346 | -0.059673 | -0.819821 | 0.749396 |
| 94 | 1.688754 | -0.962240 | -0.246596 | 0.300348 | 0.837762 | 0.318166 | -0.084117 | -0.384465 | 0.032861 | -0.383118 | 1.382742 | -0.269899 | -0.996017 | -0.015465 | 0.414126 | -0.400631 | -0.333912 | 3.091003 | -0.157478 | 0.510640 | -0.166308 | 0.176833 | -0.581655 | -1.750680 | 0.663458 | -0.720901 | -0.409896 | 0.496396 | -0.868494 | 0.087491 | -1.266045 | -0.036426 | -0.047877 | -0.114165 | -0.491119 | 1.062709 | -0.065494 | 0.459595 | 0.219850 | -0.976071 | 0.310496 | 0.084737 | -0.344539 | 0.207486 | -0.020977 | 0.841516 | 0.087648 | -0.048760 | 0.148843 | -1.118955 | -0.396663 | -0.443950 | -1.910372 | 0.544590 | -0.815494 | 0.749396 |
| 95 | -0.033259 | 0.401438 | -0.246596 | 0.428934 | -0.203506 | -0.102411 | -0.084117 | -1.739376 | -0.058485 | 0.271038 | 1.281474 | 0.966275 | -0.296325 | 0.770465 | -0.130952 | -0.088912 | 0.230252 | -0.424248 | -0.198729 | 0.762599 | -0.166308 | -0.235795 | -0.352122 | 0.948822 | 0.575000 | 0.011953 | 0.717391 | -0.181093 | -0.503706 | -0.986462 | 0.948005 | 1.284944 | 18.937924 | -0.114165 | 0.552198 | -0.093685 | 7.685327 | 0.068729 | 14.426556 | 1.102205 | 0.112933 | -0.189147 | -0.301910 | 16.325515 | -0.277827 | -0.511120 | 6.866468 | -0.025807 | 0.329907 | 0.232352 | -0.396663 | -0.232026 | 0.198378 | -0.967396 | -0.829077 | 0.749396 |
| 96 | 0.051989 | -0.349332 | 0.090514 | 0.158632 | -0.203506 | 0.023431 | -0.084117 | -1.037108 | -0.106195 | -0.435966 | -0.136277 | -0.511516 | -0.801983 | 0.664044 | -0.003952 | -0.373605 | 0.112084 | 1.318140 | -0.692632 | -0.385213 | -0.078279 | -0.183389 | -1.201188 | 0.217483 | 0.825943 | -0.009465 | -0.058117 | -0.181093 | -0.430749 | 0.565504 | 0.187605 | 0.608145 | -0.200253 | -0.114165 | 0.194468 | 0.572670 | 0.457717 | -0.519858 | -0.182108 | -1.242803 | -0.420340 | -0.291834 | -0.136910 | -0.149688 | -0.332409 | -0.931159 | -0.285912 | -0.056401 | -0.239782 | 1.453521 | -0.396663 | -0.781193 | 0.304170 | 0.578020 | -0.771828 | 0.749396 |
| 97 | 0.580528 | 3.108066 | 1.077458 | 0.102006 | -0.203506 | -0.095787 | -0.084117 | 0.120807 | 0.065181 | -0.484168 | 0.572598 | 0.124486 | 1.323962 | -0.321829 | -0.130952 | -0.437169 | -1.518053 | 0.778150 | -0.533309 | -0.161250 | 0.159017 | -1.906685 | -0.272464 | -0.384797 | -1.327523 | -2.034263 | -0.800042 | 0.391744 | -0.090280 | -0.187690 | -0.984922 | 1.688696 | -0.030408 | -0.114165 | -0.099690 | 0.467488 | -0.819891 | -0.349505 | -0.244914 | -0.336112 | 0.869551 | -0.304459 | -0.104482 | -0.254302 | -0.495613 | 0.200355 | 0.041911 | -0.065843 | -0.102880 | -0.732103 | -0.396663 | -0.731766 | -0.961229 | 0.687368 | -0.828074 | 0.749396 |
| 98 | -0.391301 | -0.566840 | -0.246596 | -0.057030 | -0.112738 | 0.722184 | -0.084117 | 0.630590 | -0.106195 | 0.081279 | -0.743885 | 0.710713 | -0.949628 | -0.204521 | -0.130952 | -0.236834 | 1.086896 | -0.201117 | -0.363487 | -0.301227 | 0.093952 | -0.387453 | -0.367086 | 1.862996 | -1.327523 | -0.517578 | -0.312746 | -0.181093 | 1.247276 | -0.215710 | 2.685284 | 0.071897 | -0.217917 | -0.114165 | 1.271361 | -0.406191 | 0.480024 | -0.087943 | -0.427051 | 0.231552 | -0.420340 | -0.217900 | -0.167466 | -0.379963 | -0.559811 | 1.296712 | -0.480085 | -0.065843 | -0.239782 | 0.109344 | 2.163914 | 0.249139 | 0.263194 | 1.207880 | 1.301265 | -1.334408 |
| 99 | 0.162812 | 0.161471 | 0.062828 | -0.199481 | -0.203506 | -0.016308 | -0.084117 | 0.460663 | -0.106195 | 0.712694 | 0.673866 | 0.206628 | 0.385904 | 0.156114 | -0.130952 | -0.090486 | -0.592746 | -0.588512 | 1.906439 | -0.049268 | 0.166672 | 1.194771 | 1.113484 | 0.701457 | 0.575733 | 2.628984 | 2.121245 | -0.181093 | -0.065961 | 0.057332 | 0.049585 | 3.361000 | -0.217723 | -0.114165 | -0.605919 | 0.099047 | 1.189806 | 0.537933 | -0.131863 | 1.102205 | -0.420340 | -0.304459 | -0.277120 | -0.085929 | 0.025939 | 0.547303 | -0.446662 | -0.050822 | -0.080799 | 0.052297 | -0.396663 | 0.641433 | 1.267840 | -0.892143 | 0.551552 | 0.749396 |
| 100 | -0.246379 | 0.682486 | 0.159617 | -0.350483 | -0.203506 | -0.503117 | -0.084117 | -0.176943 | -0.106195 | -0.312119 | -0.237545 | -0.345136 | -0.144397 | -0.004863 | -0.130952 | -0.372030 | -0.478471 | -0.771210 | -0.762043 | -0.469199 | -0.059142 | -0.098958 | -1.506004 | -0.384797 | -1.327523 | -0.438885 | -0.068084 | -0.181093 | 0.444742 | -0.439192 | -0.157732 | -1.868082 | -0.066318 | -0.114165 | 1.295803 | 0.284484 | 0.763937 | -0.238869 | 0.006310 | -0.166190 | 0.302338 | -0.279280 | -0.133559 | -0.108214 | -0.506234 | -0.183601 | -0.095370 | -0.065843 | -0.239782 | 1.996362 | -0.005777 | -0.759748 | -1.022320 | -0.464962 | -0.819677 | 0.749396 |
| 101 | -0.357202 | 1.861762 | -0.246596 | -0.438727 | -0.203506 | -0.112346 | -0.084117 | -0.379954 | -0.078131 | 0.283582 | -1.047688 | -0.286381 | 1.988897 | -0.246773 | -0.130952 | 0.174134 | 0.328136 | -0.413694 | -0.574436 | -0.581181 | -0.124207 | -0.697652 | 0.913074 | 1.067127 | 0.614575 | -0.700065 | 0.579968 | -0.181093 | 0.906807 | -0.077304 | 0.788222 | 1.268830 | -0.039142 | -0.114165 | -0.415080 | -0.296145 | -0.994295 | -0.060661 | 0.131922 | -0.418804 | -0.420340 | -0.033251 | -0.330986 | 0.305291 | 1.611037 | -0.081829 | 0.305136 | -0.041380 | -0.239782 | -0.632271 | 0.426172 | -0.755967 | -1.552022 | 0.493815 | -0.818505 | 0.749396 |
| 102 | -0.553272 | -0.684883 | -0.246596 | -0.447754 | -0.203506 | 0.238687 | -0.084117 | -0.190477 | -0.068081 | 0.060981 | -0.541349 | 0.182689 | -0.735991 | -0.171667 | -0.130952 | -0.319684 | 0.065078 | -0.371922 | -0.514165 | -0.441204 | -0.166308 | -0.528525 | -0.204779 | -0.944056 | 0.907151 | 0.053237 | 1.490468 | -0.181093 | 1.320233 | -0.601128 | -0.652829 | -1.483130 | -0.217917 | -0.114165 | 1.186928 | -0.698026 | 0.471912 | -0.563096 | -0.427051 | 1.102205 | -0.420340 | -0.077710 | -0.293827 | -0.379963 | -0.294788 | -0.092932 | -0.480085 | -0.054606 | -0.239782 | 0.738647 | -0.157878 | 0.166882 | -0.271350 | -0.482237 | 1.301265 | -1.334408 |
| 103 | -0.092932 | -0.041925 | -0.246596 | -0.309882 | -0.203506 | 0.026743 | -0.049801 | 0.537356 | -0.076863 | 0.420378 | 0.876402 | -0.038696 | 0.259778 | -0.220451 | -0.130952 | -0.009539 | 1.007261 | -0.072530 | 1.246297 | -0.245236 | -0.105070 | -0.055816 | -1.506004 | 1.314492 | 0.923814 | 0.540708 | -0.229110 | -0.181093 | 0.347465 | -0.986462 | 2.271581 | 0.890144 | -0.217917 | -0.114165 | -0.362248 | -0.116789 | -0.193255 | -0.350827 | -0.427051 | -0.840871 | -0.420340 | -0.064081 | -0.362478 | -0.379963 | -0.469548 | -0.226160 | -0.480085 | -0.050425 | 0.144427 | -1.167089 | 0.786167 | 0.015618 | -0.138739 | -0.439085 | 1.301265 | -1.334408 |
| 104 | -0.561797 | 0.182152 | -0.246596 | -0.397736 | -0.203506 | 0.730463 | -0.049801 | -0.404014 | -0.106195 | -0.529463 | -0.845152 | -0.531572 | -0.495958 | -0.222831 | -0.130952 | -0.386003 | 1.533910 | -0.717545 | -0.019645 | -0.945121 | -0.166308 | -0.690638 | -0.046960 | -0.653671 | -1.327523 | -0.479298 | -0.586841 | -0.181093 | -0.357791 | -0.393106 | 0.552843 | -1.584292 | -0.101257 | -0.114165 | -0.325833 | -0.375184 | -0.239898 | -0.066614 | -0.131863 | -0.141388 | -0.384322 | -0.304459 | -0.377017 | -0.028979 | -0.191924 | -0.791454 | 0.151679 | -0.065843 | -0.239782 | -0.827479 | 0.956233 | -0.547549 | 0.821206 | -1.030585 | -0.821094 | 0.749396 |
| 105 | -0.519173 | -1.594110 | 0.708986 | -0.443694 | 0.274883 | 1.619635 | -0.010584 | 0.535852 | -0.061925 | -0.517531 | -0.845152 | -0.138246 | -0.969231 | -0.183235 | -0.130952 | -0.315289 | 1.094506 | -0.189224 | -0.434133 | -0.189245 | 7.790769 | -0.206945 | -0.571065 | -0.201962 | 0.643710 | -0.515834 | 0.975379 | 0.619182 | -0.455068 | -0.267641 | -0.858213 | -0.905702 | -0.217917 | 7.068255 | 0.085594 | -0.173940 | 1.193862 | -0.492013 | -0.427051 | 1.102205 | -0.280576 | 0.936377 | -0.306444 | -0.379963 | -0.353492 | -0.035570 | -0.480085 | -0.061807 | -0.045469 | -0.433497 | 3.176948 | -0.091351 | -0.583137 | 3.020809 | 1.301265 | -1.334408 |
| 106 | -0.357202 | -1.594110 | 0.596441 | -0.338216 | -0.203506 | -1.705238 | -0.036320 | 0.546378 | -0.106195 | 0.061655 | -0.440081 | -0.296574 | 0.205616 | -0.166350 | -0.130952 | 1.057206 | -0.001196 | 0.085639 | 0.541569 | -0.609176 | 0.285320 | 0.097431 | -0.711271 | 1.249962 | 1.013348 | -0.874993 | -0.203869 | 0.371613 | -0.455068 | 0.245530 | 0.748133 | -0.675626 | -0.217917 | 0.123153 | -1.274472 | -0.553324 | 0.208279 | -0.549695 | -0.427051 | 1.102205 | -0.128652 | 2.330187 | -0.444633 | -0.379963 | 0.306792 | 0.167973 | -0.480085 | -0.051489 | -0.094047 | 1.244050 | -0.396663 | 0.757249 | -1.140032 | 1.396782 | 1.301265 | -1.334408 |
| 107 | 0.375932 | 0.108495 | 1.640859 | 0.495753 | -0.203506 | 2.709160 | -0.084117 | -0.601010 | -0.106195 | -0.542627 | -1.047688 | 0.000908 | 1.011734 | -0.041639 | -0.130952 | -0.379509 | -0.151329 | 5.307155 | -0.344344 | 1.462484 | -0.166308 | 0.071493 | -1.506004 | 1.110147 | -1.327523 | -1.340949 | 0.710097 | -0.181093 | -0.333472 | -0.338591 | -0.693276 | -1.381968 | -0.180842 | -0.114165 | -1.090299 | -0.698026 | 0.033875 | -0.837864 | -0.420771 | 0.183805 | -0.420340 | -0.043481 | -0.210046 | -0.127403 | -0.511779 | -0.810883 | 6.062280 | -0.061168 | 0.095849 | -1.627033 | -0.396663 | -0.661445 | -0.767527 | -0.428315 | -0.831054 | 0.749396 |
| 108 | -0.297528 | -0.432499 | -0.246596 | -0.396570 | 0.215513 | -0.327601 | -0.084117 | -1.739376 | -0.106195 | 0.000199 | -0.136277 | 0.198222 | 2.648425 | -0.137060 | -0.130952 | 1.061142 | 0.598981 | -0.392436 | 0.304930 | -0.357217 | -0.166308 | 0.546848 | -0.118214 | -0.836506 | -0.354559 | 0.299299 | -0.409064 | -0.181093 | -0.090280 | 0.513594 | 0.152026 | -0.381988 | 0.083146 | -0.114165 | -1.058945 | -0.257842 | 0.204223 | 1.191894 | 0.370584 | -1.436835 | -0.200381 | -0.186541 | -0.191516 | 0.789365 | 0.462871 | 0.613917 | 0.728424 | -0.043713 | 0.131178 | -0.416561 | -0.280284 | -0.686381 | -0.755979 | 1.794938 | -0.820665 | 0.749396 |
| 109 | -0.178180 | -0.556511 | -0.246596 | -0.138579 | -0.203506 | 0.076417 | -0.079827 | -0.246117 | -0.106195 | -0.621475 | 0.268795 | -0.504302 | 2.648425 | -0.089862 | -0.130952 | 1.269938 | -1.116057 | -0.387530 | 0.074467 | 1.014557 | -0.166308 | -0.337959 | -0.078040 | -0.449327 | -0.348932 | 1.028276 | 0.387642 | -0.181093 | 0.833849 | -0.596680 | -0.274276 | 0.767497 | -0.159490 | -0.114165 | -0.186716 | 0.156806 | 0.916033 | 2.951613 | -0.031374 | -1.653339 | -0.420340 | -0.304459 | -0.456658 | -0.061787 | -0.227744 | -0.211357 | -0.181150 | -0.054669 | -0.023388 | -0.855112 | -0.396663 | 1.698956 | 0.523948 | -0.483776 | -0.802280 | 0.749396 |
| 110 | 0.307734 | -0.168799 | -0.246596 | 0.710120 | -0.203506 | -0.327601 | -0.084117 | -1.739376 | -0.106195 | -0.508007 | 0.066259 | 0.231891 | -0.298973 | -0.075749 | -0.130952 | 0.254294 | -0.124606 | -0.041312 | 0.259727 | -0.525190 | -0.166308 | 0.922157 | -0.429938 | 0.023893 | -1.327523 | -0.147760 | -0.340809 | -0.181093 | -0.698260 | -0.422207 | 0.393347 | 0.771973 | -0.217723 | -0.114165 | -1.035985 | -0.377008 | 0.228558 | 0.569660 | -0.357965 | -0.977921 | -0.420340 | -0.050594 | -0.307922 | -0.155259 | -0.042882 | -0.890450 | -0.338976 | -0.054732 | -0.005724 | -0.982577 | -0.068613 | -0.455224 | 0.993304 | -0.785767 | -0.486512 | 0.749396 |
| 111 | 0.708400 | -0.354458 | -0.179594 | 0.084772 | -0.203506 | -0.330913 | -0.084117 | -0.819059 | -0.106195 | -0.274152 | 0.370063 | -0.642905 | 0.758789 | -0.222506 | -0.130952 | 0.835487 | -0.085233 | -0.197252 | 0.126834 | -0.161250 | -0.166308 | -0.025908 | -0.148259 | 0.013138 | 0.647161 | -0.053367 | -0.574092 | -0.181093 | 0.590657 | -0.116126 | 0.211157 | 0.414773 | -0.050789 | -0.114165 | -0.122527 | -0.285810 | 1.362182 | -0.340922 | 0.270095 | -1.446539 | -0.420340 | -0.236793 | 0.015226 | -0.011027 | -0.271059 | -0.105884 | -0.148878 | -0.059673 | -0.239782 | -0.452215 | -0.396663 | 0.343970 | -0.383847 | 0.703419 | -0.813865 | 0.749396 |
| 112 | -0.280478 | -0.264370 | 0.506405 | -0.227297 | -0.203506 | -0.542857 | -0.035095 | -0.080700 | -0.106195 | 0.250022 | 0.673866 | -0.088250 | -1.023056 | 0.184418 | -0.130952 | -0.354122 | -0.179045 | -0.149533 | -0.145992 | 1.210525 | 0.304457 | -0.476119 | -0.211800 | -0.115922 | 0.667754 | -0.208039 | -0.048969 | -0.181093 | -0.382110 | -0.744193 | -0.384448 | -1.602197 | 0.129732 | -0.114165 | 1.307653 | -0.502253 | 1.423020 | -0.134986 | 0.332901 | 0.063634 | -0.140966 | -0.287204 | -0.324481 | 0.026733 | -0.217339 | 0.241989 | 0.006772 | -0.046694 | -0.151458 | 0.267116 | -0.396663 | -0.768576 | -0.025870 | -0.735972 | -0.822734 | 0.749396 |
| 113 | -0.681144 | -1.137389 | -0.246596 | -0.491681 | -0.203506 | -0.667043 | 0.172024 | -0.513791 | 0.080843 | -0.183358 | -1.351492 | -0.574022 | -0.885762 | -0.321829 | -0.130952 | -0.437169 | -0.476258 | -0.546146 | 0.386691 | -0.189245 | -0.166308 | -0.033319 | -0.623326 | -0.040637 | -1.327523 | -0.232655 | 0.128352 | -0.181093 | 0.444742 | -0.035009 | -0.762572 | 0.286754 | -0.217917 | -0.114165 | -0.058831 | -0.176372 | -0.594789 | -0.629136 | -0.427051 | 0.106039 | -0.420340 | 0.005539 | -0.353903 | -0.379963 | -0.077225 | -0.448207 | -0.480085 | -0.057742 | -0.191204 | -1.067256 | -0.396663 | -0.105696 | 0.313482 | -0.168671 | 1.301265 | -1.334408 |
| 114 | -0.715244 | -0.301525 | -0.246596 | -0.427971 | -0.203506 | -0.741555 | 0.025570 | -1.271698 | -0.034902 | -0.405826 | 0.471331 | -0.719421 | -0.986384 | -0.212044 | 0.079104 | -0.353598 | -0.883035 | -0.594013 | -0.221208 | -0.833139 | -0.166308 | -0.522702 | -0.081609 | 0.109933 | -1.327523 | -0.603443 | -0.259926 | -0.181093 | 0.250189 | -0.614873 | 0.411530 | -0.999702 | -0.217917 | -0.114165 | -0.905879 | -0.262098 | -0.846255 | -0.645875 | -0.427051 | 1.102205 | 0.739485 | -0.191137 | -0.430439 | -0.379963 | -0.337428 | -0.357538 | -0.480085 | -0.045977 | -0.239782 | -0.673273 | -0.396663 | -0.473479 | -0.382729 | -0.548119 | 1.301265 | -1.334408 |
| 115 | 0.043465 | -0.600142 | -0.246596 | 0.462106 | -0.203506 | -0.019620 | -0.084117 | 0.275697 | 0.286079 | -0.916956 | 1.078938 | 0.151403 | -0.668957 | -0.140049 | -0.130952 | -0.437169 | 1.422618 | 0.017555 | -0.471679 | -0.609176 | -0.166308 | -1.419287 | -0.554258 | -1.933515 | -1.327523 | -1.249076 | -1.057882 | 0.169963 | -1.743986 | -0.455416 | -2.060234 | -1.149207 | -0.217917 | 0.307734 | -0.618757 | -0.424431 | -1.302543 | -0.649621 | -0.427051 | 1.102205 | -0.420340 | 0.014519 | -0.115596 | -0.379963 | 1.668105 | -1.423362 | -0.480085 | -0.065843 | -0.239782 | -1.456782 | 4.644503 | -0.737182 | 0.353713 | -1.164131 | 1.301265 | -1.334408 |
| 116 | -0.306053 | 0.719364 | -0.246596 | -0.446199 | -0.203506 | -0.198448 | -0.084117 | 1.200525 | -0.068444 | -0.019912 | 0.066259 | -0.245276 | -0.505483 | 1.180025 | -0.130952 | -0.269371 | -0.258573 | 0.069436 | -0.658174 | -1.001112 | -0.131862 | -0.133366 | 0.691483 | 0.400318 | 0.901530 | -0.548591 | -0.493479 | -0.181093 | 0.250189 | 0.088973 | 1.278523 | 0.456849 | -0.217917 | -0.114165 | -0.643445 | -0.263922 | 0.285341 | 0.518154 | -0.427051 | 1.102205 | -0.420340 | 0.391354 | -0.050222 | -0.379963 | -0.298564 | 0.556555 | -0.480085 | -0.044453 | 0.113513 | 0.284943 | 1.495252 | -0.716595 | -1.286799 | 1.335307 | 1.301265 | -1.334408 |
| 117 | -0.254904 | -0.693916 | -0.246596 | 0.733487 | -0.203506 | 0.513552 | -0.084117 | 0.681719 | -0.106195 | -0.384483 | -0.035009 | 0.009425 | -0.744385 | 0.077454 | -0.130952 | -0.345332 | 1.043629 | -0.267714 | -0.073494 | 0.314672 | -0.017041 | 0.477239 | -0.229413 | 1.411287 | -1.327523 | 1.260770 | -0.011503 | -0.181093 | -0.528026 | 0.329484 | 0.576395 | 0.888354 | -0.217917 | -0.114165 | -0.173878 | -0.440239 | -0.866534 | -0.078510 | -0.427051 | 0.345748 | -0.420340 | -0.289105 | -0.167860 | -0.379963 | 0.486769 | 0.656476 | -0.480085 | -0.065843 | 0.449144 | -0.140238 | -0.310777 | 2.905832 | 0.348498 | -0.037712 | 1.301265 | -1.334408 |
| 118 | 0.188387 | 1.111451 | -0.246596 | -0.115730 | -0.203506 | 0.076417 | -0.084117 | -0.264162 | 0.262405 | -0.418905 | 0.167527 | 0.401383 | 2.648425 | 0.014042 | 0.459076 | -0.386003 | -0.793093 | 0.171562 | 0.066810 | -0.245236 | -0.166308 | -0.639688 | -0.220319 | 0.066913 | 0.555532 | -0.481333 | -0.662336 | -0.181093 | 0.006997 | -0.109708 | 0.505739 | -0.599531 | 0.188936 | -0.114165 | -1.195964 | 0.785466 | -0.852339 | -0.222912 | -0.144425 | 0.017176 | 0.184277 | -0.061264 | -0.317039 | 0.254532 | -0.447765 | 1.392932 | 1.699780 | 0.394939 | -0.235365 | 1.710234 | -0.396663 | -0.500538 | 0.481854 | -0.350614 | -0.829375 | 0.749396 |
| 119 | -0.169656 | -0.180110 | -0.246596 | 0.505774 | 0.085354 | 0.771859 | -0.084117 | -1.739376 | -0.106195 | -0.419213 | 1.078938 | 0.255587 | -0.654085 | -0.053220 | -0.130952 | -0.394793 | 0.014710 | 0.579323 | -0.642365 | -0.749153 | -0.166308 | -0.247970 | -0.173468 | -0.040637 | 0.788469 | -0.447995 | -0.659327 | -0.181093 | -1.111686 | -0.215795 | -0.880763 | -1.269169 | -0.164343 | -0.114165 | 0.105838 | -0.197043 | 0.163664 | -0.445695 | -0.069057 | -1.414063 | 0.532533 | -0.184182 | -0.336703 | -0.251207 | -0.094317 | -0.879348 | -0.344153 | -0.065843 | -0.160290 | 1.137978 | -0.249487 | -0.600289 | -0.213612 | -0.311169 | -0.802668 | 0.749396 |
| 120 | -0.271953 | -1.594110 | -0.246596 | -0.375276 | -0.203506 | -0.589220 | -0.084117 | -0.449128 | -0.106195 | 0.155408 | -0.136277 | -0.596108 | -1.063530 | -0.165186 | -0.130952 | -0.437169 | -0.304492 | -0.671611 | -0.432404 | -0.245236 | -0.166308 | -0.572990 | -0.614922 | -1.191421 | 1.314977 | -0.776335 | -0.243484 | -0.109551 | -0.892814 | -0.490933 | -1.538721 | -1.799149 | -0.057583 | -0.114165 | 2.289497 | -0.698026 | 0.129189 | -0.354320 | -0.043935 | -1.382062 | 0.367140 | -0.304459 | -0.232421 | -0.082834 | -0.596404 | -0.283522 | 0.008318 | -0.064275 | -0.239782 | -0.511045 | -0.106232 | -0.753095 | -0.053435 | -1.208961 | -0.821763 | 0.749396 |
| 121 | 0.086089 | 0.577711 | 0.354619 | -0.389227 | 0.266320 | 0.106222 | 0.130355 | 0.063663 | -0.084468 | -0.019330 | 1.990349 | 0.259184 | -0.673238 | 0.071762 | -0.130952 | -0.358649 | 0.420114 | -0.270687 | 0.175989 | 0.090709 | -0.040005 | 0.528585 | 2.033689 | 0.260503 | -1.327523 | -0.465246 | -0.692481 | -0.181093 | 1.174318 | 0.172546 | 0.879782 | 1.563363 | -0.217917 | -0.114165 | 0.251251 | 0.243140 | -0.566398 | -0.262302 | -0.427051 | 1.102205 | -0.420340 | 0.326559 | 0.120494 | -0.379963 | -0.058798 | -0.344585 | -0.480085 | -0.050038 | -0.226533 | 2.150567 | 1.579927 | 1.225063 | -0.644600 | 1.469588 | 1.301265 | -1.334408 |
| 122 | -0.408350 | -0.538212 | -0.246596 | -0.313510 | -0.203506 | -1.016420 | -0.032644 | -0.802517 | -0.106195 | -0.370645 | -1.452760 | -0.700755 | -0.280947 | 0.084680 | -0.130952 | -0.169072 | -1.519450 | -0.306959 | -0.756608 | -0.133254 | -0.166308 | -0.903304 | -0.468615 | -1.589355 | 0.700626 | -0.112096 | 1.409841 | -0.181093 | -1.549432 | -0.986462 | -1.695783 | -0.826026 | -0.217917 | -0.114165 | -0.571356 | -0.201907 | -1.201146 | -0.141857 | -0.427051 | -1.027363 | 0.531070 | -0.236529 | -0.235870 | -0.379963 | -0.688996 | 0.097659 | -0.480085 | -0.065843 | -0.208868 | -1.014666 | -0.396663 | 0.538809 | 0.781721 | -0.579730 | 1.301265 | -1.334408 |
| 123 | -0.442450 | -0.623808 | -0.246596 | -0.424473 | -0.203506 | -0.933629 | -0.084117 | -0.155890 | -0.106195 | -0.639520 | -0.946420 | -0.320138 | 1.629841 | -0.238343 | -0.130952 | -0.401090 | -0.159779 | -0.589107 | -0.529480 | -1.057103 | 0.602991 | 0.213093 | -0.575669 | -0.965566 | -1.327523 | -0.984116 | -0.400157 | -0.181093 | -0.406430 | 0.277129 | -0.408072 | -0.273664 | -0.217917 | -0.114165 | 6.928878 | -0.698026 | -0.485280 | -0.639398 | -0.427051 | 1.102205 | -0.420340 | -0.300550 | -0.248438 | -0.379963 | 0.374861 | 0.665728 | -0.480085 | -0.055942 | -0.239782 | -0.893440 | -0.396663 | -0.431560 | 0.005048 | 0.744612 | 1.301265 | -1.334408 |
| 124 | 0.154287 | -0.571740 | -0.123997 | 0.161440 | -0.203506 | -0.082541 | -0.058380 | 0.582469 | -0.077497 | 0.332577 | -0.440081 | -0.545869 | -1.015648 | -0.202246 | 0.350877 | -0.351564 | 0.250868 | 0.383396 | -0.052004 | 0.622622 | -0.166308 | -0.490412 | 0.189595 | -0.395552 | 0.673729 | -0.131672 | 2.759222 | -0.181093 | 0.006997 | -0.005697 | -0.074476 | -0.352445 | -0.217917 | -0.114165 | 0.666257 | -0.698026 | 1.412881 | -0.614294 | -0.427051 | 1.102205 | -0.091403 | -0.304459 | 0.779752 | -0.379963 | -0.368082 | -0.065176 | -0.480085 | -0.065843 | -0.200036 | -0.096561 | -0.094883 | 0.342859 | 0.328382 | -0.213116 | 1.301265 | -1.334408 |
| 125 | -0.016209 | 0.214700 | 0.373677 | -0.117069 | -0.203506 | -0.254746 | -0.084117 | 0.138852 | -0.106195 | 0.370954 | -0.136277 | -0.278614 | 0.073828 | 1.487934 | -0.130952 | 0.172625 | -0.670676 | -0.106869 | 0.714354 | -0.245236 | 0.166672 | 0.421392 | 0.179350 | -0.847261 | 0.554929 | -0.336449 | -0.402562 | -0.181093 | -0.090280 | -0.303582 | -0.290025 | 0.460430 | -0.217723 | -0.114165 | -0.328672 | -0.076054 | 0.548974 | 0.585937 | -0.307720 | -1.453547 | -0.420340 | -0.304459 | -0.208321 | -0.365726 | -0.399649 | -1.036631 | -0.480085 | -0.041811 | -0.036637 | 0.700318 | -0.396663 | -0.365492 | -1.019713 | 0.293094 | -0.255831 | 0.749396 |
| 126 | -0.561797 | 0.804705 | -0.246596 | -0.329448 | -0.203506 | -0.811099 | -0.084117 | 1.335866 | -0.106195 | 0.350844 | -1.148956 | -0.266854 | -0.847527 | -0.185307 | -0.130952 | -0.177206 | 0.940656 | -0.197400 | -0.228865 | -0.413208 | -0.166308 | 1.395924 | 0.062511 | -0.244982 | 0.748353 | 0.180678 | -0.273911 | -0.181093 | 0.250189 | -0.269336 | 0.407163 | -0.297836 | -0.150755 | -0.114165 | -0.542471 | -0.485230 | 0.581421 | -0.101785 | -0.043935 | 1.102205 | -0.004435 | -0.304459 | -0.216650 | -0.012885 | -0.055670 | 0.532500 | -0.098861 | -0.059407 | 0.095849 | 0.439149 | -0.145923 | -0.564022 | 0.604036 | -0.304595 | -0.806993 | 0.749396 |
| 127 | 1.253988 | -0.077458 | 0.042570 | 0.122566 | -0.203506 | 0.987114 | -0.084117 | -0.166416 | -0.106195 | 0.352394 | 0.775134 | -0.197288 | -0.873186 | -0.076269 | -0.130952 | -0.330638 | 0.697350 | 0.737790 | 0.346675 | 0.566631 | -0.166308 | 0.131044 | -0.475177 | -0.406307 | 0.692655 | -1.081029 | 1.702594 | -0.181093 | 0.006997 | -0.687221 | -0.992582 | 1.565154 | -0.208017 | -0.114165 | 0.411476 | -0.698026 | -0.923317 | 0.284815 | -0.069057 | -1.519817 | -0.420340 | -0.283929 | 2.133504 | -0.311871 | 1.493028 | 2.196001 | -0.454863 | -0.055100 | 0.833352 | -0.021686 | -0.396663 | -0.035914 | 1.173968 | -0.814302 | -0.680493 | 0.749396 |
| 128 | 0.120188 | 0.240001 | 0.540019 | -0.036470 | -0.203506 | 0.559915 | -0.084117 | 1.059169 | -0.106195 | 0.439576 | -0.035009 | -0.163994 | -0.574765 | -0.130788 | -0.130952 | -0.158183 | -0.248881 | 0.781643 | 0.884793 | 0.958567 | 0.216428 | 0.742443 | 1.226293 | -0.987076 | 0.996144 | -0.651221 | -0.522710 | 0.054165 | -0.844175 | -0.344627 | 1.205003 | 1.569630 | -0.018761 | -0.114165 | -0.665170 | 0.592734 | 0.411074 | 0.342837 | 0.496196 | 0.224862 | 1.485175 | -0.096743 | 0.245525 | 0.702083 | -0.495752 | 0.700886 | 0.302895 | -0.061981 | 0.382901 | 1.114803 | -0.091503 | 0.932986 | 1.871670 | -0.593928 | -0.811817 | 0.749396 |
| 129 | -0.621471 | -0.872164 | -0.246596 | -0.392294 | -0.203506 | -1.062782 | -0.084117 | -0.037090 | -0.106195 | 0.103368 | -0.743885 | -0.346371 | -0.334405 | -0.087680 | -0.130952 | -0.339494 | -0.506697 | -0.357353 | 0.146101 | -0.805144 | -0.124207 | -0.551287 | -0.320581 | 0.249748 | 0.689441 | -0.292450 | -0.361201 | -0.181093 | -0.163238 | -0.713208 | 0.355692 | 0.942068 | -0.167254 | -0.114165 | 0.768712 | -0.086997 | -1.223453 | -0.516655 | 0.282656 | -1.330943 | -0.420340 | -0.304459 | -0.441725 | 0.164774 | -0.574568 | 0.101359 | -0.224435 | -0.065843 | -0.076383 | -0.718733 | -0.396663 | -0.659905 | 1.006714 | 0.437305 | -0.770510 | 0.749396 |
| 130 | -0.331627 | -0.010392 | -0.136452 | -0.376054 | -0.203506 | 0.122780 | -0.036933 | -0.896504 | -0.095060 | -0.061242 | 0.268795 | 0.245780 | -0.543929 | 0.070314 | 0.253099 | 0.207424 | 0.478269 | -0.083010 | -0.640142 | 0.342668 | -0.122293 | 0.052436 | 0.591681 | -0.223472 | 0.738915 | 0.889885 | -0.772530 | -0.181093 | -0.625302 | -0.270077 | -0.435562 | 0.023555 | -0.217723 | -0.114165 | -0.510623 | 0.197541 | -1.134223 | 0.468418 | -0.383087 | -0.031942 | 0.287176 | -0.177262 | 0.143066 | -0.379963 | -0.371328 | 0.128190 | -0.468161 | -0.049704 | -0.204452 | 0.059873 | -0.310427 | 1.687249 | 0.115682 | -0.513010 | -0.601852 | 0.749396 |
| 131 | -0.280478 | -1.074231 | -0.246596 | -0.359467 | 0.762978 | -0.354094 | -0.084117 | 1.726850 | -0.106195 | -0.740646 | -0.541349 | -0.453997 | -0.953458 | 0.624966 | -0.130952 | -0.254939 | -0.662226 | -0.552835 | 0.062857 | -0.245236 | -0.097416 | -0.730207 | 0.475533 | -0.040637 | 0.738753 | -0.208039 | -0.338821 | -0.181093 | 0.225869 | 0.772128 | -0.565493 | -1.023873 | -0.217917 | -0.114165 | -0.512104 | -0.504685 | -0.452833 | -0.162665 | -0.427051 | 1.102205 | 0.778428 | 0.029168 | 3.371541 | -0.379963 | -0.237011 | -0.348286 | -0.480085 | -0.065843 | -0.239782 | -0.306031 | -0.396663 | 2.448650 | -0.842400 | 1.365870 | 1.301265 | -1.334408 |
| 132 | -0.306053 | 0.860697 | -0.246596 | -0.375211 | -0.203506 | -0.365685 | -0.084117 | -0.000248 | -0.106195 | -0.152551 | 0.167527 | -0.132179 | 0.081968 | -0.018888 | -0.130952 | -0.229127 | 0.106487 | -0.586431 | 1.457122 | -0.119257 | -0.166308 | -0.130322 | 0.012668 | 0.443338 | 0.678989 | -0.998750 | -0.028886 | -0.181093 | -0.175397 | -0.210818 | 0.360238 | -0.543578 | -0.217917 | -0.114165 | -0.526300 | 0.020009 | 0.306634 | -0.057987 | -0.427051 | 0.626342 | -0.066775 | -0.304459 | -0.311717 | -0.379963 | -0.596464 | 0.735118 | -0.480085 | -0.047913 | -0.076383 | 0.329065 | -0.206703 | -0.479838 | -0.948937 | -0.497449 | 1.301265 | -1.334408 |
| 133 | 0.000841 | 2.067097 | 0.026964 | -0.086833 | -0.196370 | 1.235486 | -0.084117 | 0.272689 | -0.106195 | 0.116037 | -0.946420 | -0.116536 | 0.372007 | 0.013123 | -0.130952 | -0.418145 | 0.805565 | -0.012027 | 1.379931 | 1.210525 | -0.166308 | 0.931155 | -0.344524 | 0.626172 | -1.327523 | 1.306028 | 0.486848 | -0.181093 | -0.187557 | -0.226130 | 1.643546 | -1.425835 | -0.140079 | -0.114165 | 1.318022 | -0.374576 | 3.440830 | 0.065916 | -0.420771 | 1.102205 | -0.420340 | -0.276991 | -0.099061 | -0.135450 | -0.032475 | 0.343760 | 8.687544 | -0.065843 | 0.225685 | 0.448954 | 0.464843 | -0.519461 | -0.636778 | -0.314596 | -0.831821 | 0.749396 |
| 134 | -0.161131 | -0.484339 | -0.076128 | 0.390233 | -0.203506 | 0.735431 | -0.084117 | 0.502769 | -0.106195 | -0.354265 | -0.237545 | -0.219065 | -0.572658 | -0.070351 | -0.130952 | 0.352952 | 0.093812 | 0.928812 | -0.467974 | 0.874580 | -0.139517 | 0.004530 | 0.143435 | -0.858016 | 0.895138 | 1.881011 | 2.508005 | -0.181093 | 1.368872 | -0.122585 | -1.201975 | 1.139916 | -0.113874 | -0.114165 | -0.293615 | -0.035318 | 0.220447 | 0.370779 | 0.018871 | -1.516162 | -0.420340 | 0.016526 | -0.117000 | -0.028979 | -0.261177 | 0.182777 | -0.088374 | -0.060689 | 0.528635 | 0.598703 | -0.239333 | 2.307432 | -0.024007 | -0.806888 | -0.813310 | 0.749396 |
| 135 | 0.572003 | -1.116108 | -0.246596 | -0.263536 | -0.020257 | -0.880643 | -0.084117 | 0.406526 | -0.106195 | -0.213143 | -0.743885 | -0.092487 | -1.024605 | -0.071851 | -0.130952 | -0.134568 | 1.148791 | -0.523550 | -0.466368 | -0.385213 | -0.166308 | -0.982177 | -0.536301 | -1.804455 | 1.822881 | -0.090581 | 0.530654 | 0.187766 | -1.038729 | -0.101830 | -0.482595 | -0.132217 | -0.160461 | -0.114165 | -0.732569 | -0.562444 | -0.201367 | -0.225535 | -0.295159 | -0.789047 | 0.348823 | -0.166487 | 1.006306 | -0.165163 | -0.088700 | -0.455608 | 0.144266 | -0.045024 | -0.239782 | 1.021209 | -0.396663 | -0.060380 | -2.043356 | -0.269836 | -0.821960 | 0.749396 |
| 136 | -0.024734 | 0.025026 | -0.246596 | -0.273859 | 1.818518 | 0.689068 | -0.021614 | -1.739376 | -0.106195 | -0.733344 | 0.673866 | -0.420593 | 1.345086 | -0.321829 | -0.130952 | -0.320340 | -0.697398 | 0.415654 | -0.601114 | -0.273231 | -0.166308 | -1.122454 | -0.512358 | 0.185218 | -1.327523 | -1.593504 | -0.975750 | -0.023700 | -0.284834 | 1.558510 | -0.463051 | -0.057017 | -0.217917 | -0.114165 | 0.060165 | -0.295537 | -0.842199 | -0.183023 | -0.427051 | 0.382769 | 0.326350 | -0.032212 | -0.195902 | -0.379963 | -0.184209 | -0.820135 | -0.480085 | -0.065843 | -0.116128 | -0.870265 | -0.396663 | 0.018293 | -0.885611 | 0.361703 | 1.301265 | -1.334408 |
| 137 | -0.604421 | 0.648214 | -0.246596 | -0.477492 | -0.203506 | -0.703471 | -0.084117 | 0.278705 | -0.059934 | -0.394412 | -1.452760 | -0.161358 | 0.731328 | -0.141981 | -0.130952 | 0.025719 | 0.191873 | -0.262809 | -0.622604 | -0.525190 | -0.166308 | -0.131248 | 0.187523 | 1.260717 | -1.327523 | -0.361743 | 0.017681 | -0.181093 | 0.493381 | 0.034374 | 0.393597 | 0.700802 | -0.153667 | -0.114165 | -0.764416 | -0.698026 | 0.633134 | -0.362762 | -0.232353 | 1.102205 | -0.420340 | 0.017512 | -0.297967 | -0.189924 | -0.429821 | 0.208682 | -0.078001 | -0.065843 | -0.147042 | -0.896560 | -0.396663 | -0.712741 | -0.090685 | 0.697159 | -0.818761 | 0.749396 |
| 138 | -0.570322 | -0.518227 | -0.167364 | -0.408060 | -0.203506 | -0.665387 | -0.084117 | 1.167442 | -0.106195 | -0.231448 | 0.370063 | -0.292647 | 0.797940 | 0.020056 | 0.367261 | -0.331819 | 0.512423 | -0.641880 | -0.547759 | -0.525190 | -0.166308 | 0.867104 | 0.076785 | 0.927312 | -1.327523 | 0.097236 | -0.306715 | -0.181093 | 2.122767 | -0.513912 | -0.175628 | -1.141150 | -0.202194 | -0.114165 | 0.143117 | 0.716763 | 2.877060 | -0.313691 | -0.383087 | -1.371942 | -0.420340 | -0.304459 | -0.367653 | -0.224589 | -0.428398 | 0.082855 | 0.214679 | -0.054785 | -0.133793 | 0.377645 | -0.396663 | -0.456099 | 1.212709 | 0.323866 | -0.818964 | 0.749396 |
| 139 | -0.634258 | -0.678408 | -0.182070 | -0.154430 | -0.203506 | -0.171955 | -0.084117 | 1.629856 | -0.106195 | -0.253163 | -2.060368 | -0.331809 | -0.035764 | -0.137697 | -0.130952 | 0.140187 | -0.029776 | -0.083084 | 0.230579 | -0.133254 | -0.110811 | 0.695066 | -0.088976 | -0.067524 | 0.627731 | 0.193179 | 0.723450 | -0.181093 | 0.505540 | -0.196056 | 0.443995 | 0.257659 | -0.182783 | 0.092728 | -0.736025 | -0.698026 | -0.387938 | -0.414805 | 0.018871 | 1.102205 | 0.540922 | -0.184235 | -0.279683 | -0.083453 | -0.101713 | 0.090257 | -0.291851 | -0.059494 | 0.003109 | -0.685753 | -0.396663 | 1.351600 | -0.813345 | 0.642223 | -0.776422 | 0.749396 |
| 140 | -0.263429 | -0.794793 | 0.274337 | -0.284139 | -0.203506 | -0.251434 | -0.079827 | -0.107768 | -0.086414 | 0.104991 | -1.047688 | -0.480981 | -0.620118 | -0.072953 | 0.455608 | -0.174779 | -0.177365 | -0.243781 | 0.077925 | -0.693162 | 0.147535 | -0.020879 | 0.098657 | -0.825751 | 0.692836 | 1.811331 | -0.562204 | 5.175759 | 0.444742 | -0.564107 | -0.284012 | 0.344050 | -0.207047 | -0.114165 | -0.752072 | -0.431119 | 1.500082 | -0.233947 | -0.257475 | -1.084866 | 0.150029 | 0.483354 | -0.290032 | -0.251207 | -0.491916 | 2.443954 | -0.350430 | -0.052104 | -0.155874 | -0.284639 | -0.305931 | -0.084073 | 0.000206 | -0.922426 | -0.765251 | 0.749396 |
| 141 | 1.722853 | 0.259933 | 0.124878 | -0.164883 | -0.203506 | 1.318277 | -0.032644 | 1.469703 | -0.106195 | 0.365389 | 1.585278 | 0.309113 | -0.935799 | 0.275164 | 0.211220 | -0.077433 | -0.557064 | -1.250474 | 0.366930 | 2.414328 | 1.230678 | -0.005792 | 2.405961 | -0.158942 | 0.641696 | 0.831447 | -0.372995 | 0.250157 | -0.552345 | -0.164245 | 0.086094 | 0.151573 | -0.217917 | 1.618054 | -1.400381 | 1.453037 | 1.135052 | 1.034707 | -0.427051 | 1.102205 | -0.420340 | 0.056284 | 0.770339 | -0.379963 | -0.148059 | -2.200526 | -0.480085 | -0.045924 | -0.005724 | 1.251181 | -0.396663 | 2.431422 | 0.446094 | -1.279598 | 1.301265 | -1.334408 |
| 142 | -0.016209 | 0.811480 | -0.246596 | 0.089091 | -0.203506 | 0.039989 | -0.084117 | 0.620064 | -0.008059 | 1.046616 | 0.775134 | 0.717729 | -0.080886 | 0.088652 | -0.130952 | 0.283812 | 0.766014 | 0.014285 | 0.526748 | -0.105259 | 0.323594 | 1.420274 | 0.405775 | 0.023893 | 0.808639 | -0.142914 | -0.692669 | -0.181093 | 0.493381 | -0.417462 | -0.271627 | 0.774659 | -0.217917 | -0.114165 | -0.228192 | 0.454720 | -0.986183 | 0.250790 | -0.427051 | 1.102205 | -0.318288 | 0.104106 | -0.281408 | -0.379963 | -0.290173 | 0.743445 | -0.480085 | -0.065843 | -0.239782 | 0.424887 | -0.011866 | 1.260282 | 0.838342 | 1.048072 | 1.301265 | -1.334408 |
| 143 | -0.519173 | -0.834328 | -0.246596 | -0.305951 | -0.203506 | -0.622336 | -0.084117 | 0.092235 | -0.106195 | -0.296663 | -0.743885 | -0.523475 | -0.513482 | -0.230571 | -0.130952 | -0.362912 | 0.054261 | -0.371624 | -0.161430 | -0.329222 | -0.166308 | 0.899924 | -0.318739 | -0.438572 | -1.327523 | 0.897541 | 0.830675 | -0.181093 | 0.955445 | -0.458592 | -0.228818 | -0.115207 | -0.217917 | -0.114165 | -0.310897 | -0.698026 | 0.185971 | 0.043836 | -0.427051 | -0.779644 | -0.420340 | 0.001137 | -0.202358 | -0.379963 | -0.263770 | 0.077304 | -0.480085 | -0.065843 | 0.038438 | -0.405864 | -0.396663 | 0.509852 | 0.574236 | -0.354880 | 1.301265 | -1.334408 |
| 144 | -0.246379 | -0.417310 | -0.246596 | -0.329707 | 0.272029 | -0.046113 | -0.084117 | -0.348374 | -0.036939 | -0.061728 | 0.977670 | -0.137231 | -0.478360 | -0.202999 | -0.130952 | -0.205282 | 0.524589 | -0.332528 | 0.308388 | 0.006723 | -0.074451 | -0.711944 | 0.285253 | 0.282013 | 0.560910 | 0.336998 | -0.503634 | -0.181093 | 0.517700 | 0.602398 | 0.408953 | 0.092488 | 0.212229 | -0.114165 | -0.360520 | 0.523423 | -0.327100 | 0.089570 | 0.182166 | -0.801954 | 0.290485 | 0.598806 | -0.254154 | 0.287959 | -0.155376 | -0.105884 | 0.616535 | -0.046979 | -0.239782 | -0.061798 | 1.137745 | -0.405109 | -0.595430 | 1.304255 | -0.826169 | 0.749396 |
| 145 | 0.895946 | 2.704413 | 3.455009 | 0.450833 | 2.733909 | 0.258557 | 0.059886 | -0.131829 | -0.046625 | -0.499480 | 1.787814 | 0.241974 | 2.648425 | -0.172932 | 0.298627 | 0.265248 | 0.216228 | 0.739276 | -0.679170 | 0.538635 | -0.166308 | -1.152892 | 0.278692 | 0.034648 | -1.327523 | -0.976945 | -0.740035 | 0.728991 | 0.201550 | 3.539015 | -0.807457 | -1.031931 | 0.291813 | -0.114165 | -0.406193 | 0.551998 | -0.840171 | -0.192998 | -0.420771 | 1.102205 | 0.299105 | 0.143335 | -0.318567 | -0.379963 | 2.108649 | -1.118048 | 2.132895 | -0.061028 | 0.321074 | 1.319816 | 0.323166 | 0.701169 | 0.371966 | 1.632823 | -0.832423 | 0.749396 |
| 146 | -0.638520 | -0.995702 | -0.246596 | -0.451296 | -0.203506 | -0.817722 | 0.001672 | -0.244613 | -0.106195 | -0.780139 | -3.174315 | -0.619804 | -0.917322 | -0.321829 | -0.130952 | -0.437169 | -0.344729 | -0.734046 | -0.048793 | -0.693162 | -0.166308 | -0.320755 | -1.506004 | -0.126677 | -1.327523 | 0.130186 | -0.403502 | -0.181093 | 0.882488 | -0.249173 | 0.078363 | -1.619206 | -0.217917 | -0.114165 | -0.350891 | -0.698026 | -1.188978 | -0.541786 | -0.427051 | -0.940091 | -0.420340 | -0.202793 | -0.315265 | -0.379963 | -0.556033 | 0.166123 | -0.480085 | -0.065843 | 0.162092 | -0.765975 | -0.396663 | 0.030629 | -0.633053 | -0.444471 | 1.301265 | -1.334408 |
| 147 | -0.578847 | -0.759025 | -0.246596 | -0.437215 | -0.203506 | -0.582597 | 0.175701 | -0.343863 | -0.022725 | 0.301182 | -1.554028 | -0.241989 | -0.779902 | 0.545509 | 0.362169 | -0.195377 | -0.088263 | -0.456952 | -0.007294 | -0.133254 | 0.097780 | -0.607927 | 1.579917 | 0.260503 | 0.698649 | -0.345074 | 2.121782 | -0.181093 | 1.174318 | 0.244937 | 0.517336 | 0.193650 | -0.217917 | -0.114165 | 2.071008 | 0.846265 | -1.225481 | -0.215769 | -0.427051 | -0.295702 | 1.420141 | -0.304459 | -0.379629 | -0.379963 | -0.236278 | 0.047698 | -0.480085 | -0.055409 | -0.239782 | -0.832828 | -0.396663 | -0.681875 | 0.655814 | -0.230881 | 1.301265 | -1.334408 |
| 148 | -0.340152 | -0.473939 | -0.246596 | -0.218831 | 0.687908 | 0.573161 | -0.084117 | -0.404014 | -0.082974 | -0.356813 | -0.035009 | -0.211122 | 0.368920 | -0.060060 | -0.130952 | 3.072358 | 0.960787 | 0.993923 | -0.251343 | -0.077263 | -0.147171 | 1.143424 | -0.967856 | 0.636927 | 0.394260 | -0.124597 | -0.378530 | 0.197415 | 0.250189 | 2.286713 | 1.002841 | 1.515020 | -0.126492 | -0.114165 | -0.592834 | 1.669481 | -0.241926 | 0.033600 | -0.169547 | -0.176463 | 0.317653 | 2.084721 | -0.323693 | 0.120205 | -0.034248 | 0.673130 | 0.416397 | -0.049346 | 0.056103 | -0.873830 | 7.649415 | -0.174699 | -0.626720 | 1.689053 | -0.819785 | 0.749396 |
| 149 | -0.374251 | 0.254272 | -0.246596 | -0.421363 | -0.203506 | 0.069794 | -0.074312 | -0.852142 | -0.106195 | -0.148932 | 0.471331 | -0.439744 | 0.639564 | -0.185739 | -0.130952 | 0.197421 | 1.429364 | -0.181494 | -0.179709 | -0.665167 | -0.166308 | -0.561344 | -0.609973 | 0.970332 | 0.768685 | -0.835452 | 1.804607 | -0.181093 | 0.614977 | -0.388659 | 1.583127 | 1.128278 | -0.130374 | -0.114165 | -0.746147 | 0.044936 | -0.505559 | -0.545622 | -0.194669 | 1.102205 | -0.420340 | -0.304459 | -0.405207 | -0.240065 | -0.229564 | -0.710962 | -0.179049 | -0.050231 | -0.049886 | -0.221352 | -0.396663 | -0.445319 | -0.635288 | -0.827101 | -0.820492 | 0.749396 |
| 150 | -0.254904 | 0.533855 | -0.246596 | -0.391214 | -0.203506 | 0.864584 | -0.084117 | -0.231079 | -0.106195 | -0.845491 | 0.876402 | -0.447422 | -0.674111 | -0.159674 | -0.130952 | -0.234932 | -1.227326 | -0.151912 | -0.797736 | -0.133254 | 0.013578 | -0.414979 | -0.128574 | -0.675181 | 0.644494 | 0.544391 | -1.141263 | -0.181093 | -0.163238 | -0.732269 | 0.414322 | -0.617436 | -0.217917 | -0.114165 | 0.115960 | -0.240818 | -0.771221 | -0.467796 | -0.427051 | 1.102205 | -0.420340 | 0.411603 | 0.233155 | -0.379963 | -0.196509 | -0.061475 | -0.480085 | -0.052544 | -0.085215 | -0.642076 | 4.723567 | -0.326253 | -0.422587 | 0.035862 | 1.301265 | -1.334408 |
| 151 | -0.003422 | 0.715073 | -0.246596 | 0.173987 | -0.203506 | -0.304420 | -0.084117 | -0.077693 | -0.106195 | 0.033742 | 0.268795 | -0.452210 | -0.691433 | -0.189945 | -0.130952 | 0.530131 | -1.047192 | 0.519267 | 0.125969 | -0.077263 | -0.166308 | 0.949947 | 0.169220 | -0.664426 | -0.295970 | 0.606221 | -0.296290 | -0.181093 | 0.347465 | -0.986462 | 0.558857 | 1.438477 | -0.124550 | -0.114165 | -0.321019 | -0.088213 | 0.597645 | 0.021249 | 0.094238 | -1.465911 | -0.420340 | -0.148034 | -0.396139 | -0.223970 | -0.131816 | -0.207656 | -0.334424 | -0.065843 | -0.169123 | 0.318815 | 0.003724 | 0.532787 | 3.103544 | -1.044467 | -0.807562 | 0.749396 |
| 152 | -0.340152 | -0.195308 | -0.246596 | -0.353377 | -0.140710 | -0.115657 | -0.071861 | 0.233591 | -0.106195 | -0.588122 | -0.642617 | -0.638514 | -0.521538 | -0.219966 | -0.130952 | -0.171827 | 0.353663 | -0.365084 | 0.401512 | -0.301227 | 0.331249 | 0.277939 | -0.299170 | 0.669192 | -1.327523 | 0.606028 | -0.744199 | 0.240840 | 2.147086 | 0.868790 | -0.172908 | 0.377173 | -0.217917 | -0.114165 | -0.780217 | -0.175156 | -0.763109 | -0.239837 | -0.427051 | -1.186040 | -0.208078 | 0.010328 | -0.255189 | -0.379963 | -0.194528 | 0.262343 | -0.480085 | -0.065843 | -0.239782 | -1.298120 | 0.086262 | -0.233872 | -0.101861 | 0.132376 | 1.301265 | -1.334408 |
| 153 | 0.444131 | 0.792148 | -0.246596 | -0.378991 | 0.126172 | 0.321477 | -0.075538 | 0.253140 | -0.106195 | -0.037282 | -1.655296 | -0.090611 | 2.648425 | -0.062818 | -0.130952 | 0.948314 | 0.537063 | 0.025434 | 0.443257 | -0.357217 | 0.162845 | -0.847987 | -0.006786 | 1.755446 | -0.350617 | 0.576857 | -0.909725 | -0.181093 | 1.855256 | 1.167712 | 1.188753 | 2.107668 | 1.316709 | 0.366557 | -1.206333 | 0.312451 | -0.817863 | 0.092371 | 0.182166 | -0.911038 | -0.100022 | -0.168670 | 0.737024 | 0.068826 | 0.050201 | 0.260493 | 0.945806 | -0.048170 | -0.155874 | -1.141239 | 0.206260 | -0.400807 | -1.194045 | 1.763886 | -0.830747 | 0.749396 |
| 154 | -0.161131 | -1.170206 | -0.246596 | 0.318187 | 0.946513 | -0.466690 | -0.009971 | 0.627583 | -0.043457 | -0.054850 | 0.167527 | -0.284527 | -0.667351 | 0.021290 | -0.130952 | 0.022472 | -0.681161 | -1.250474 | 0.976559 | -0.189245 | -0.166308 | -2.397656 | 0.200876 | 0.830517 | 0.775070 | -0.038054 | -0.572628 | -0.039672 | 0.639296 | -0.348651 | 0.614766 | 1.579477 | -0.217917 | -0.114165 | -1.400381 | 0.144646 | -0.945624 | -0.135708 | -0.427051 | 1.102205 | 0.699310 | -0.304459 | -0.313442 | -0.379963 | -0.121375 | -2.200526 | -0.480085 | -0.048325 | -0.239782 | 1.280596 | -0.396663 | 4.880725 | 0.148463 | -0.867874 | 1.301265 | -1.334408 |
| 155 | -0.502123 | -0.516198 | -0.246596 | -0.431427 | -0.032816 | -0.522987 | -0.084117 | -1.739376 | -0.073151 | -0.068389 | -1.351492 | -0.055177 | -0.568039 | -0.113823 | -0.130952 | -0.167170 | -0.478625 | -0.577958 | -0.411902 | -0.749153 | -0.166308 | 0.319757 | -0.191195 | 0.131443 | -1.327523 | -1.208760 | 0.514386 | -0.181093 | 0.396104 | 0.200249 | -0.451454 | 0.707516 | -0.217917 | -0.114165 | 0.134970 | -0.698026 | -0.175004 | -0.458506 | -0.427051 | -1.142959 | -0.420340 | -0.304459 | -0.298115 | -0.379963 | -0.062646 | 0.515847 | -0.480085 | -0.055990 | -0.239782 | -0.761518 | -0.396663 | 1.207521 | 0.725100 | 1.384264 | 1.301265 | -1.334408 |
| 156 | 0.716925 | 0.171644 | -0.246596 | 2.418207 | -0.203506 | 2.450853 | -0.084117 | 0.735103 | -0.106195 | 0.624755 | 0.471331 | 0.332346 | 1.394531 | -0.321829 | -0.130952 | 0.594252 | 0.201341 | 1.999427 | -0.048298 | -0.175247 | -0.105070 | 0.617781 | -0.087134 | -0.723579 | 0.624821 | -0.795912 | -0.646653 | -0.181093 | -0.941452 | 0.209313 | 0.374519 | 1.835515 | 0.022972 | -0.114165 | -0.657023 | 0.064392 | -0.234828 | -0.246761 | 0.006310 | 1.102205 | -0.420340 | 0.039028 | -0.371152 | 0.305911 | -0.225472 | 0.563957 | 0.700430 | -0.049263 | 0.409398 | -0.247647 | -0.396663 | -0.598931 | 0.005235 | 0.130488 | -0.824427 | 0.749396 |
| 157 | -0.237854 | -0.226879 | 0.164193 | -0.230623 | -0.178959 | 0.818221 | 0.000446 | 0.200508 | -0.073513 | 0.733761 | -0.642617 | 2.540174 | 0.218115 | -0.075082 | -0.130952 | -0.437169 | -0.204087 | 0.034799 | -0.708564 | -0.497194 | 0.262356 | 0.089755 | 2.474798 | 1.637142 | 1.288216 | 0.945804 | 3.567669 | 0.016896 | 0.420423 | -0.534244 | -0.284799 | 0.310031 | 0.268520 | -0.114165 | 0.456655 | -0.002487 | 1.672458 | -0.025800 | 0.295217 | 0.286994 | 0.351594 | -0.223007 | -0.099948 | 0.275579 | -0.370880 | -1.173560 | 0.485605 | -0.047870 | -0.239782 | 0.940987 | -0.396663 | -0.735080 | -0.280663 | -0.473495 | -0.825870 | 0.749396 |
| 158 | -0.050308 | -0.588133 | -0.246596 | 0.108096 | -0.099608 | 0.189012 | -0.084117 | -0.904775 | -0.031461 | -0.145946 | 1.585278 | -0.247593 | 0.340304 | -0.015304 | -0.130952 | -0.263926 | 0.011988 | 0.326609 | -0.119685 | 0.174695 | -0.166308 | 0.123369 | 0.784263 | -0.384797 | 0.678324 | 0.292612 | -0.657393 | -0.181093 | 0.104274 | -0.019210 | -0.006468 | -0.182350 | 1.008076 | -0.114165 | -0.538767 | 0.118503 | -0.353463 | -0.252627 | 2.455742 | -0.052679 | -0.420340 | -0.304459 | -0.300973 | 1.089589 | 0.497615 | -0.305727 | 0.362435 | -0.059784 | -0.120545 | -0.222243 | -0.396663 | 0.044841 | -0.823030 | 1.139131 | -0.822039 | 0.749396 |
| 159 | -0.629996 | -1.594110 | -0.246596 | -0.397823 | -0.203506 | -0.254746 | 0.011476 | -1.739376 | -0.094109 | -0.459317 | 1.078938 | 0.077027 | -0.223770 | 0.081168 | -0.130952 | -0.007374 | -0.431204 | -0.769723 | 0.257380 | -0.413208 | -0.166308 | 0.509529 | -0.258421 | -0.417062 | 0.617397 | -0.180419 | -0.641985 | -0.181093 | -0.795537 | -0.986462 | 3.704185 | -0.738293 | -0.217723 | -0.114165 | -0.345707 | -0.256018 | -0.160808 | -0.820254 | -0.357965 | -0.113733 | -0.108411 | -0.047918 | -0.278796 | -0.026503 | -0.645372 | 2.099781 | -0.259477 | -0.041898 | -0.239782 | -0.615335 | -0.396663 | -0.732808 | -0.075413 | -0.811015 | -0.486512 | 0.749396 |
| 160 | -0.122769 | 0.602661 | 0.868725 | 0.336112 | 1.336132 | -0.181890 | -0.039997 | 0.352390 | -0.028881 | -0.305505 | -0.743885 | -0.002798 | 0.476203 | 0.125012 | -0.130952 | 0.794291 | -0.701114 | -1.250474 | 0.524772 | 0.132702 | 1.605759 | 0.072022 | 0.329111 | -0.562254 | 0.708374 | 0.076303 | -0.611652 | -0.181093 | -0.430749 | 0.016541 | -0.140157 | -0.429436 | -0.217917 | 0.323961 | -0.136599 | 0.285699 | 0.664567 | 0.206840 | -0.427051 | 1.102205 | 0.165498 | -0.304459 | -0.243953 | -0.379963 | 0.277175 | -2.200526 | -0.480085 | -0.046466 | -0.041053 | -0.484304 | -0.286516 | 0.501683 | -0.855438 | 1.794029 | 1.301265 | -1.334408 |
| 161 | -0.016209 | -1.594110 | 0.220166 | 0.636692 | -0.203506 | 0.298296 | -0.072474 | -1.739376 | -0.106195 | 0.323852 | -0.946420 | 0.275003 | 0.106298 | 0.329305 | -0.130952 | 9.944867 | -0.688286 | 1.668074 | 0.112754 | 1.042553 | -0.166308 | 1.857516 | -1.129703 | -1.320481 | 0.980730 | -0.986539 | -0.218350 | -0.181093 | -1.768305 | -0.898166 | 0.419619 | -0.339912 | -0.131344 | -0.114165 | 1.249636 | -0.698026 | 0.605757 | -0.389018 | -0.081619 | -0.716613 | -0.420340 | -0.248133 | -0.368589 | 0.010638 | -0.328704 | -0.970017 | 0.032298 | -0.065843 | -0.036637 | -0.777563 | -0.396663 | -0.728944 | -1.097939 | -1.148325 | -0.814591 | 0.749396 |
| 162 | -0.323102 | -0.580568 | -0.246596 | -0.364305 | -0.203506 | -0.344159 | -0.084117 | -0.061151 | -0.076501 | -0.074155 | -1.047688 | -0.448349 | -0.732780 | -0.167813 | -0.130952 | -0.364946 | 0.267792 | -0.425735 | -0.627791 | -0.357217 | -0.166308 | 0.698242 | -0.352352 | -1.471051 | -1.327523 | -0.397794 | 0.020522 | -0.181093 | -0.455068 | -0.986462 | -1.017924 | -0.204731 | -0.217917 | -0.114165 | -1.342117 | -0.698026 | -1.324851 | -0.580198 | -0.427051 | -1.299300 | -0.420340 | -0.304459 | -0.409888 | -0.379963 | -0.146946 | 1.592774 | -0.480085 | -0.052593 | -0.239782 | -1.259791 | -0.396663 | 2.122490 | 0.028516 | -0.994881 | 1.301265 | -1.334408 |
| 163 | 0.520854 | -0.505625 | 0.426573 | -0.288458 | -0.203506 | 0.056547 | -0.084117 | -0.044609 | -0.106195 | 0.425174 | 0.673866 | -0.086971 | 0.149312 | -0.189979 | 0.023452 | -0.394202 | -0.197981 | -0.450858 | -0.294570 | -0.105259 | 0.136053 | -0.170685 | 0.954744 | -0.642916 | -1.327523 | 2.270310 | 0.656350 | 0.314711 | -0.090280 | -0.775560 | -0.648892 | 0.423726 | -0.104169 | -0.114165 | -0.988337 | 0.164102 | -0.359547 | 0.386816 | 0.571563 | 1.102205 | -0.391402 | 0.007881 | -0.208173 | 0.205010 | -0.211642 | 1.426239 | -0.186998 | -0.056440 | 0.245999 | 1.443716 | -0.396663 | 0.225609 | -1.183242 | -0.852348 | -0.793435 | 0.749396 |
| 164 | -0.271953 | 0.865741 | -0.246596 | 0.688092 | -0.203506 | 1.463989 | -0.084117 | -1.333354 | -0.038478 | -0.626683 | -0.845152 | -0.369405 | 0.481110 | -0.039049 | -0.130952 | -0.225289 | 0.428232 | 0.492063 | 0.309623 | -0.497194 | -0.166308 | -0.358074 | -0.336927 | -0.890281 | -1.327523 | -0.700937 | 0.480145 | -0.181093 | -1.208963 | -0.521622 | -0.521896 | -0.877054 | 0.067617 | -0.114165 | -0.971549 | -0.698026 | 1.195890 | -0.358253 | 0.182166 | 0.054249 | -0.216390 | -0.299881 | -0.009662 | 0.149918 | -0.730038 | -1.105095 | 0.231440 | -0.057752 | -0.005724 | -0.733886 | -0.396663 | -0.410260 | -1.036103 | -0.939980 | -0.822954 | 0.749396 |
| 165 | -0.169656 | -0.809758 | -0.246596 | 1.474419 | -0.203506 | -0.211694 | -0.084117 | 0.592996 | -0.106195 | -0.157304 | 0.370063 | -0.124501 | 0.401564 | 0.394523 | -0.130952 | 0.208769 | 0.411333 | 0.557322 | -0.724126 | 0.398658 | -0.166308 | 0.733708 | -0.938502 | 0.142198 | 0.659080 | -0.174507 | -0.657500 | -0.181093 | -0.163238 | -0.031875 | 1.096620 | -0.578940 | -0.164343 | -0.114165 | -0.262755 | 0.564158 | 0.534779 | 0.275282 | -0.244914 | -1.034175 | -0.420340 | 0.133545 | -0.320637 | -0.150926 | -0.292419 | -0.096632 | -0.016320 | -0.050754 | 0.382901 | 2.259314 | -0.396663 | 0.173197 | -0.479581 | 0.389608 | -0.817086 | 0.749396 |
| 166 | -0.570322 | 0.596824 | -0.246596 | -0.368927 | -0.203506 | -0.311043 | -0.084117 | -0.294238 | -0.106195 | 0.086726 | -2.566707 | -0.270539 | -0.393581 | -0.081623 | -0.130952 | -0.317519 | 0.624686 | -0.474791 | -0.865418 | -1.924960 | -0.166308 | 0.249354 | -0.167022 | -0.309512 | 0.454782 | 0.874476 | -0.213272 | -0.181093 | 1.636383 | -0.604474 | 0.021809 | -0.082084 | -0.176960 | -0.114165 | -0.230167 | -0.698026 | 0.033875 | -0.446198 | -0.106741 | 1.102205 | -0.420340 | -0.304459 | -0.313787 | -0.080358 | -0.197489 | 0.079155 | -0.187975 | -0.065843 | 0.245999 | -0.946031 | -0.396663 | -0.769975 | -0.221807 | -0.712472 | -0.797663 | 0.749396 |
| 167 | 0.657251 | -0.620144 | -0.207243 | 0.678848 | 0.860026 | 0.172454 | 0.341150 | 0.754653 | 0.025030 | -0.180545 | 1.484010 | 0.260838 | 1.240761 | 0.080371 | 0.751651 | 0.209064 | -1.172484 | -0.292391 | 0.792163 | 0.286677 | -0.166308 | 0.081285 | 1.808184 | -0.449327 | 0.662382 | 0.347658 | -0.248448 | 0.304729 | -0.236195 | 0.437413 | 0.387334 | 0.633211 | -0.217917 | -0.114165 | 0.381850 | 2.240382 | -0.768179 | 0.192624 | -0.427051 | 1.102205 | 2.737278 | -0.036314 | -0.009366 | -0.379963 | -0.447288 | 0.149469 | -0.480085 | -0.026354 | 0.047271 | 0.196252 | -0.396663 | 0.943211 | -1.229060 | -0.070024 | 1.301265 | -1.334408 |
| 168 | -0.161131 | 0.224800 | -0.246596 | -0.041999 | 0.081929 | 0.665887 | -0.084117 | 0.199004 | -0.015256 | -0.054350 | 0.775134 | -0.402457 | -0.721880 | -0.162184 | 0.022696 | -0.309123 | -0.071564 | -0.033731 | 0.587390 | -0.469199 | -0.105070 | -0.229972 | -0.069292 | 0.131443 | -0.379473 | -0.789031 | -0.407196 | -0.181093 | 0.371785 | 1.372832 | -0.595631 | -0.117893 | 2.286283 | -0.114165 | -0.709856 | -0.122261 | -0.237870 | -0.159003 | 6.173854 | 1.102205 | -0.420340 | -0.162278 | -0.371990 | 2.007595 | 5.255351 | 1.013602 | 0.368537 | -0.058284 | 0.144427 | 0.081712 | 0.602710 | -0.678913 | -0.508636 | 2.399201 | -0.820780 | 0.749396 |
| 169 | -0.502123 | -1.187192 | -0.246596 | -0.449093 | -0.203506 | -0.542857 | 0.079495 | 0.165921 | -0.036350 | -0.045685 | 0.066259 | -0.224404 | 0.225500 | -0.206650 | 0.191239 | -0.043125 | 0.382930 | 0.179589 | -0.335698 | -0.693162 | -0.166308 | 0.123104 | 1.227675 | -0.589141 | 0.728345 | -0.163362 | -0.779704 | -0.129849 | 0.055635 | 0.100728 | 1.293843 | -0.766940 | 0.527656 | -0.114165 | 0.677860 | 0.812825 | -0.854367 | -0.002877 | 1.011205 | 1.102205 | 0.903492 | -0.036085 | -0.354839 | 0.317672 | -0.465265 | 0.084706 | 0.154036 | -0.052883 | 0.131178 | -0.446867 | -0.396663 | -0.384961 | 0.486697 | 0.578790 | -0.823909 | 0.749396 |
| 170 | -0.433925 | -0.348214 | 0.328209 | -0.323229 | 0.638243 | 0.109533 | -0.084117 | 0.665177 | -0.106195 | -0.043449 | 0.673866 | 0.265185 | -0.885819 | 0.208209 | -0.130952 | -0.303219 | 0.232442 | -0.088436 | -0.010258 | -0.217240 | -0.166308 | -0.260277 | -0.252550 | -0.288002 | 0.697039 | 0.769907 | 3.283097 | -0.181093 | 0.614977 | 1.052921 | 0.387978 | -0.948673 | -0.185695 | -0.114165 | -0.294726 | -0.698026 | 3.528032 | -0.528242 | -0.295159 | -1.218654 | -0.420340 | -0.264349 | -0.280619 | -0.226446 | 0.099374 | -0.153069 | -0.134575 | -0.056043 | -0.239782 | -0.269486 | -0.396663 | -0.348166 | 0.466954 | 2.814842 | -0.813875 | 0.749396 |
| 171 | -0.229329 | -1.067907 | -0.246596 | -0.225742 | -0.203506 | 0.901012 | -0.084117 | -0.754396 | -0.106195 | -0.277550 | -0.642617 | -0.564248 | -0.185786 | -0.084136 | -0.130952 | -0.437169 | -0.342208 | 0.616190 | -0.666078 | -0.581181 | -0.166308 | -0.584106 | -0.146992 | 0.088423 | 0.677572 | -0.006461 | -0.910464 | -0.041669 | 1.587745 | -0.386880 | 0.037916 | 0.084431 | -0.146873 | -0.114165 | 0.658851 | 0.188421 | -0.714438 | -0.228931 | -0.144425 | -0.649300 | -0.068622 | -0.273646 | -0.239665 | 0.234723 | -0.315501 | -0.709112 | 0.397754 | -0.060994 | 0.153259 | 0.336642 | -0.396663 | -0.675188 | -0.636405 | -0.392647 | -0.814609 | 0.749396 |
| 172 | -0.642783 | -0.433503 | -0.246596 | -0.415424 | -0.203506 | -0.807787 | -0.084117 | -0.001000 | -0.106195 | 0.650699 | -0.743885 | -0.540662 | -0.548915 | -0.321829 | -0.130952 | -0.437169 | 0.888099 | -0.176886 | -0.498356 | 0.202691 | -0.166308 | 0.021204 | -0.449737 | 0.002383 | 0.655151 | 0.572302 | -0.383272 | -0.181093 | 0.225869 | -0.616970 | 0.029934 | -0.248150 | -0.217917 | -0.114165 | 0.207306 | -0.698026 | -0.022907 | -0.582784 | -0.427051 | 1.102205 | -0.420340 | -0.301008 | -0.501998 | -0.379963 | -0.339934 | 0.280847 | -0.480085 | -0.065843 | -0.160290 | -0.762410 | -0.396663 | 0.598484 | 0.955681 | -0.495875 | 1.301265 | -1.334408 |
| 173 | 0.000841 | -0.334328 | -0.246596 | -0.271224 | -0.203506 | -0.450131 | -0.084117 | 0.111784 | -0.074781 | -0.296301 | 1.281474 | -0.145417 | -0.331617 | 0.242142 | 0.175006 | 0.106043 | 0.663752 | 0.312487 | 0.993479 | 0.118704 | -0.166308 | 1.008970 | -0.147913 | -0.266492 | 1.059464 | 0.669215 | 0.630625 | -0.181093 | 0.760892 | 0.187562 | 0.499511 | 1.185573 | -0.217917 | -0.114165 | -1.037713 | 0.436481 | -0.341295 | -0.194309 | -0.427051 | 0.418714 | 0.335893 | -0.031190 | -0.100786 | -0.379963 | 0.062339 | 0.462185 | -0.480085 | -0.040978 | -0.239782 | -0.927312 | -0.396663 | 0.243153 | 1.579626 | -0.246477 | 1.301265 | -1.334408 |
| 174 | -0.689669 | -0.627166 | -0.246596 | -0.272952 | -0.203506 | -0.284550 | -0.084117 | -0.313787 | -0.055588 | -0.256787 | -3.275583 | -0.570558 | -0.668365 | -0.321829 | -0.130952 | -0.242476 | -1.166733 | -0.547929 | -0.387941 | -1.029107 | -0.166308 | -0.260674 | -0.355575 | -0.481591 | -1.327523 | 0.168176 | -0.238272 | -0.181093 | 0.298827 | -0.284373 | -1.126737 | 0.355688 | -0.217917 | -0.114165 | -0.818977 | -0.698026 | -0.789472 | -0.272930 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | -0.430587 | -0.379963 | 1.437185 | 1.570569 | -0.480085 | -0.057364 | -0.010140 | -0.906811 | -0.396663 | 0.382874 | 0.579823 | -0.007779 | 1.301265 | -1.334408 |
| 175 | 0.222486 | 1.152517 | 0.093365 | -0.077547 | -0.203506 | 2.550202 | -0.084117 | 0.200508 | -0.106195 | 0.334142 | -0.642617 | -0.104070 | -0.068546 | -0.080717 | -0.130952 | -0.374458 | 0.803885 | -1.073129 | 1.468362 | -0.497194 | 0.070988 | -0.626190 | 1.511195 | 0.464848 | -1.327523 | -0.472126 | -0.697451 | -0.181093 | 1.028403 | -0.602378 | 0.251747 | -0.988064 | -0.003232 | -0.114165 | 0.555408 | -0.137460 | 1.078269 | -0.391343 | -0.332842 | 0.364207 | -0.420340 | -0.172139 | -0.079496 | -0.356440 | -0.221315 | 0.291950 | -0.120975 | -0.065843 | -0.239782 | 0.901767 | 0.105725 | -0.751601 | 0.065394 | -1.259386 | -0.830455 | 0.749396 |
| 176 | -0.391301 | 0.460438 | 0.021561 | 0.099328 | -0.203506 | 0.573161 | -0.020388 | -0.497249 | -0.106195 | -0.548513 | -0.743885 | -0.507104 | 1.221123 | -0.098223 | -0.130952 | -0.437169 | 0.669989 | 0.359165 | -0.865418 | -0.105259 | -0.116552 | 0.224739 | 0.035115 | 4.132299 | -1.327523 | -0.086705 | -0.366601 | -0.181093 | -0.552345 | -0.065380 | 0.229627 | -1.717683 | -0.171137 | -0.114165 | 0.117194 | 0.441345 | -1.010519 | -0.167941 | -0.257475 | 0.483501 | 0.717935 | 0.075441 | 0.061207 | -0.004218 | 0.189969 | -0.518521 | 0.256499 | -0.065843 | -0.239782 | 0.623661 | -0.396663 | -0.398059 | 0.284427 | -0.453143 | -0.816056 | 0.749396 |
| 177 | 2.285491 | -0.768810 | -0.246596 | -0.214728 | -0.203506 | 0.089664 | -0.084117 | 0.123815 | -0.106195 | -0.364903 | 1.180206 | -0.044278 | -0.823896 | -0.187004 | -0.130952 | -0.415981 | 0.364326 | 0.494144 | -0.416965 | 0.874580 | -0.166308 | -0.426360 | 0.044209 | -0.739711 | -1.327523 | -1.367406 | -0.678389 | -0.181093 | -0.868494 | -0.523358 | -1.055937 | 0.233935 | -0.095434 | -0.114165 | -1.081164 | 0.246180 | -0.377798 | 0.159628 | 0.835348 | -1.377829 | -0.420340 | -0.294528 | 0.032031 | -0.103261 | -0.580835 | 0.719390 | -0.369656 | -0.054654 | -0.164706 | -1.151044 | -0.396663 | -0.322369 | -1.394080 | -0.053029 | -0.786669 | 0.749396 |
| 178 | -0.016209 | 2.020837 | -0.096836 | -0.063812 | 0.410180 | -0.056048 | -0.084117 | 0.552394 | -0.053370 | 0.063495 | 1.180206 | 0.278136 | 0.231387 | -0.145411 | 0.017942 | -0.290952 | 0.923248 | -0.038042 | 0.124981 | 0.678613 | -0.147171 | 0.506617 | -0.088976 | 1.120902 | -1.327523 | 1.707247 | -0.695799 | -0.181093 | 0.298827 | 0.912398 | 0.940130 | 0.803306 | -0.064377 | -0.114165 | -0.586169 | 1.017109 | -0.343323 | 0.071924 | 0.345462 | 0.002060 | 0.539767 | 4.418754 | -0.187130 | 0.884075 | -0.435950 | 0.680532 | 0.478872 | -0.047386 | 0.029606 | -0.597508 | 3.238302 | -0.158402 | -0.870338 | 1.613520 | -0.810045 | 0.749396 |
| 179 | 3.120922 | -0.111921 | -0.069975 | -0.349144 | -0.203506 | 1.652751 | -0.084117 | 0.594499 | -0.106195 | 0.255043 | 0.370063 | -0.126222 | 0.119344 | -0.103258 | -0.130952 | -0.365274 | 0.110333 | -0.616460 | 1.120320 | 0.034718 | -0.112725 | 0.334844 | -0.204779 | 0.905802 | -1.327523 | 1.342758 | -0.641340 | -0.181093 | 0.250189 | -0.288566 | -0.685401 | -0.296045 | -0.217917 | -0.114165 | 0.229031 | -0.698026 | -0.223674 | -0.389999 | -0.427051 | 1.102205 | -0.379242 | 0.036000 | -0.329163 | -0.379963 | -0.414523 | 0.299351 | -0.480085 | -0.061391 | -0.217701 | -0.429931 | 0.094296 | -0.012322 | -0.244157 | -0.818358 | 1.301265 | -1.334408 |
| 180 | -0.101457 | -0.673175 | -0.045365 | -0.098452 | -0.203506 | 0.261868 | -0.084117 | 2.508819 | -0.106195 | 0.245611 | -0.136277 | 0.191780 | 0.014286 | 0.226246 | -0.130952 | -0.373736 | 0.006082 | -0.502590 | -0.088809 | -0.189245 | 0.055679 | -0.103457 | 0.260734 | 1.067127 | 0.723022 | 0.949680 | -0.323251 | -0.181093 | 0.469061 | -0.374003 | -0.607085 | 0.644849 | -0.217917 | -0.114165 | 1.705871 | -0.698026 | 0.926173 | 0.148433 | -0.427051 | 1.102205 | -0.420340 | -0.294775 | -0.303388 | -0.379963 | -0.144393 | 0.371516 | -0.480085 | -0.029712 | -0.089631 | -0.504806 | -0.396663 | -0.293554 | 1.022359 | -0.789614 | 1.301265 | -1.334408 |
| 181 | 0.785123 | -1.092828 | 1.694805 | 1.105681 | -0.203506 | 0.341347 | 0.215531 | -0.124310 | -0.034675 | 0.563321 | -2.262903 | 0.338524 | -0.927208 | 0.187680 | 0.386099 | -0.043912 | -0.989877 | 2.024698 | -0.092143 | 1.714442 | 0.116916 | 0.628897 | 1.229862 | -1.379633 | -1.327523 | -0.997006 | -0.457303 | -0.076941 | -1.330559 | -0.222339 | -0.873962 | -0.904807 | -0.168225 | -0.114165 | 1.125455 | 0.443776 | 1.019459 | -0.190675 | 0.043993 | -1.026438 | 1.684508 | -0.116851 | -0.209307 | 0.049017 | -0.447511 | 0.155021 | -0.173490 | -0.051102 | 0.210670 | 1.202156 | -0.396663 | -0.496738 | -1.352359 | -1.070834 | -0.790389 | 0.749396 |
| 182 | -0.254904 | 0.109607 | -0.127748 | -0.319881 | -0.203506 | -0.004718 | 0.028634 | 1.635119 | -0.072155 | 0.146671 | -1.756564 | -0.262375 | -0.587192 | -0.148918 | -0.130952 | 0.259673 | -0.018320 | -0.294621 | -0.021868 | -0.007275 | -0.166308 | 0.328756 | -0.014153 | -1.067738 | 0.721555 | 0.472870 | 0.845680 | -0.181093 | -0.904973 | -0.436142 | 0.034373 | 0.414773 | -0.217723 | 0.242827 | -0.701832 | -0.150836 | 0.763937 | -0.434736 | -0.282598 | 1.102205 | 0.737946 | -0.175361 | -0.252183 | -0.261730 | -0.283782 | -0.515746 | -0.450770 | -0.058197 | -0.124961 | -0.316728 | -0.396663 | 0.016945 | -0.506587 | -0.702122 | -0.140490 | 0.749396 |
| 183 | -0.212280 | -0.933759 | -0.246596 | -0.392553 | -0.203506 | -0.506429 | -0.084117 | 0.923829 | -0.106195 | -0.258378 | 1.180206 | -0.230339 | -0.697601 | -0.134567 | -0.130952 | -0.279341 | 0.028225 | -0.398680 | -0.080657 | 0.202691 | -0.166308 | 0.195096 | -0.158964 | -1.600110 | 0.893572 | -0.426093 | -0.703604 | -0.181093 | -0.771218 | -0.554322 | 0.415109 | -0.065074 | -0.193459 | -0.114165 | -0.263496 | 0.632253 | -1.079469 | 0.355487 | -0.420771 | -0.799086 | -0.420340 | 0.039592 | -0.244643 | -0.264206 | -0.449028 | -0.270569 | 2.274463 | -0.044366 | 0.184172 | 1.053298 | -0.396663 | 0.053372 | 1.019006 | -1.010897 | -0.830315 | 0.749396 |
| 184 | 0.034940 | 0.025480 | 0.878479 | -0.351865 | -0.203506 | -0.609090 | -0.084117 | 1.032101 | -0.106195 | -0.002239 | 0.572598 | 0.267788 | 0.256849 | -0.063505 | -0.130952 | -0.112921 | 0.375474 | -0.409234 | -0.031749 | 0.370663 | -0.166308 | 1.117486 | 0.341773 | -1.653885 | 0.908892 | 0.032886 | -0.260491 | -0.181093 | -1.014410 | -0.955498 | -1.189948 | 0.606354 | -0.128433 | -0.114165 | 0.783772 | -0.698026 | 0.336040 | 0.442759 | 0.295217 | -1.409321 | -0.420340 | 0.006560 | -0.288702 | 0.291673 | -0.377191 | 1.740805 | -0.064057 | -0.053938 | 0.003109 | -0.431714 | -0.396663 | -0.105462 | -0.593195 | -0.870532 | -0.796567 | 0.749396 |
| 185 | -0.561797 | -1.594110 | -0.246596 | -0.307334 | -0.037954 | -1.821145 | -0.084117 | -0.413037 | 0.010410 | 0.109202 | -1.047688 | 0.118396 | -0.582263 | -0.321829 | -0.130952 | 0.474242 | -0.594935 | -1.250474 | 0.195009 | -0.567183 | -0.166308 | -2.397656 | -0.423261 | 2.029699 | 0.719938 | 0.258692 | -0.935880 | -0.181093 | 1.891735 | -0.028825 | 1.599055 | -0.180560 | -0.217917 | -0.114165 | -0.293121 | -0.294321 | -0.471084 | -0.210253 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | -0.494409 | -0.379963 | 0.340480 | -2.200526 | -0.480085 | -0.052506 | -0.239782 | 0.042492 | -0.396663 | 1.095140 | -1.447348 | 0.740136 | 1.301265 | -1.334408 |
| 186 | 0.375932 | -0.423957 | -0.104864 | -0.211402 | 0.458133 | 1.040100 | 0.076431 | -0.246117 | -0.106195 | -0.152429 | 0.268795 | 0.200517 | -0.594459 | 0.019565 | -0.130952 | 0.079017 | -0.467631 | -0.098247 | 0.030375 | -0.553185 | -0.040005 | -0.088371 | -0.135711 | 0.593908 | 0.676185 | -0.534441 | 0.678931 | -0.181093 | 0.055635 | 1.191454 | 0.662443 | 0.244678 | -0.217917 | -0.114165 | -0.852306 | 0.808569 | 0.636176 | -0.798355 | -0.427051 | 1.102205 | 0.167115 | 15.681973 | -0.357057 | -0.379963 | 0.064651 | 1.407735 | -0.480085 | -0.049481 | -0.239782 | 0.743995 | 9.886660 | 0.003986 | -0.621877 | 3.064939 | 1.301265 | -1.334408 |
| 187 | 0.554953 | 1.730056 | 0.998752 | 1.700448 | -0.203506 | 0.453943 | -0.084117 | -0.402510 | -0.106195 | -0.383428 | -0.338813 | 0.510421 | -0.711262 | -0.083570 | -0.130952 | -0.437169 | -0.853614 | 0.973483 | 0.203408 | 0.818590 | -0.166308 | -0.922096 | -0.913178 | -0.707446 | -1.327523 | -1.677236 | -0.711059 | 0.265797 | -1.160325 | 2.141402 | -1.343646 | -0.758883 | -0.217917 | -0.114165 | -0.300157 | 0.048584 | -0.982127 | 0.385398 | -0.427051 | 1.102205 | -0.420340 | -0.242903 | -0.322510 | -0.379963 | 0.472972 | -0.939485 | -0.480085 | -0.065843 | 0.056103 | -0.350600 | -0.396663 | -0.111116 | -1.709592 | -0.426916 | 1.301265 | -1.334408 |
| 188 | 0.145762 | -0.909997 | 0.105220 | 0.327819 | -0.203506 | -1.023043 | 0.048856 | -0.599506 | -0.087229 | -0.611806 | -0.541349 | 0.146638 | -0.666394 | -0.189456 | 0.113212 | -0.406469 | 0.551974 | -0.479994 | -0.400292 | 0.342668 | -0.166308 | -0.148452 | 1.139844 | 0.131443 | -0.351985 | -0.500425 | 1.193577 | -0.181093 | -0.260514 | -0.458698 | -0.441647 | 1.515916 | -0.217723 | -0.114165 | 2.521318 | 0.123367 | 0.498276 | -0.334969 | -0.307720 | -1.607749 | 1.770706 | -0.106146 | -0.000939 | -0.240065 | -0.148674 | -1.436315 | -0.433533 | -0.063859 | -0.239782 | -0.723190 | -0.396663 | -0.733504 | 0.032614 | -0.456850 | -0.255831 | 0.749396 |
| 189 | -0.340152 | -0.093157 | 0.124878 | -0.396311 | -0.203506 | -0.132215 | 0.011476 | 1.057665 | -0.040379 | 0.522573 | -0.035009 | -0.136216 | -0.452109 | -0.129267 | -0.130952 | -0.046011 | -0.586485 | -1.250474 | -0.713999 | 0.202691 | 0.017405 | 0.321345 | 1.757650 | -0.244982 | 0.621650 | -0.790485 | -0.155186 | -0.181093 | 0.542019 | -0.406238 | -0.165177 | 0.067421 | -0.217917 | -0.114165 | -0.149190 | -0.508333 | -0.252066 | -0.046204 | -0.427051 | 1.102205 | 0.666370 | -0.304459 | -0.168599 | -0.379963 | -0.368366 | -2.200526 | -0.480085 | -0.039043 | -0.071966 | 0.061210 | -0.396663 | -0.337936 | -0.327599 | -0.111637 | 1.301265 | -1.334408 |
| 190 | 0.162812 | 0.019758 | -0.246596 | 0.824668 | -0.203506 | -0.248122 | -0.035095 | 0.377954 | 0.043454 | 0.132329 | 1.889081 | -0.028149 | 2.648425 | -0.156285 | 0.217652 | -0.177206 | -0.447855 | 0.127263 | -0.695720 | 0.426654 | -0.078279 | 0.964240 | 1.103584 | -0.685936 | 0.826993 | 0.242023 | -0.924206 | 0.163974 | -0.211876 | -0.023191 | 0.050587 | 0.980563 | 1.736955 | -0.114165 | 0.193974 | 0.671164 | -0.852339 | 0.266813 | 2.706966 | -0.807968 | 0.860316 | 0.033746 | -0.322756 | 2.911363 | -0.376464 | 0.634272 | 1.713091 | -0.055613 | 0.228334 | 0.880374 | -0.396663 | -0.282509 | 1.268957 | 0.115871 | -0.825378 | 0.749396 |
| 191 | -0.289003 | -0.238933 | 0.341264 | -0.357740 | -0.203506 | 2.401179 | -0.084117 | 0.361413 | -0.106195 | -0.562501 | -0.946420 | 0.278136 | -0.222148 | 0.118745 | -0.130952 | -0.373211 | 0.241223 | -1.093048 | 1.330775 | -0.413208 | -0.082106 | -0.559492 | -1.506004 | 0.260503 | -1.327523 | 0.521035 | 0.478613 | -0.181093 | 0.006997 | -0.543288 | 0.158111 | -0.010465 | -0.117757 | -0.114165 | 0.347534 | -0.666410 | 0.761909 | -0.151636 | -0.043935 | 0.108848 | -0.420340 | -0.174058 | -0.184123 | -0.318061 | 0.501397 | -0.052223 | -0.383666 | -0.065843 | 0.042854 | -0.034166 | 0.000169 | -0.382312 | 0.107487 | -1.282326 | -0.815343 | 0.749396 |
| 192 | 7.894818 | 0.691151 | 9.684524 | 8.237573 | 1.074102 | 2.123002 | -0.084117 | 0.540363 | 18.732660 | 13.709010 | 1.382742 | 3.032256 | 1.746560 | -0.157993 | 20.193747 | -0.311287 | 13.197043 | 2.022171 | 15.417188 | 1.126539 | 0.296802 | -0.271790 | 0.428798 | 2.443766 | -1.327523 | -1.426426 | 1.202913 | 0.681074 | -2.157412 | 1.650724 | 0.491636 | 0.602773 | -0.217917 | -0.114165 | -0.635792 | 4.175609 | -1.020658 | 0.329454 | -0.427051 | 0.245234 | 0.854621 | -0.009885 | 1.406976 | -0.379963 | 1.569991 | -1.143028 | -0.480085 | -0.065843 | 0.572797 | 10.991115 | 1.700244 | -0.750487 | 1.179556 | -0.360370 | 1.301265 | -1.334408 |
| 193 | -0.178180 | -0.603898 | -0.246596 | -0.439245 | -0.203506 | 1.430872 | -0.036320 | -0.405518 | -0.085916 | 0.498359 | -1.351492 | 0.311253 | -0.915576 | -0.023595 | -0.130952 | -0.382592 | -0.148323 | -0.140317 | -0.091279 | -0.217240 | -0.166308 | -0.512115 | -0.221815 | 0.841272 | -1.327523 | 0.624635 | 0.221633 | -0.181093 | 1.393191 | -0.516962 | -0.602861 | 0.047726 | -0.217917 | -0.114165 | 0.683539 | -0.069366 | -0.590733 | -0.140646 | -0.427051 | -1.265621 | 0.183508 | -0.296254 | -0.333056 | -0.379963 | 0.719492 | 3.082338 | -0.480085 | -0.065843 | 0.069352 | -0.011881 | -0.396663 | 5.251124 | 0.000206 | -0.540565 | 1.301265 | -1.334408 |
| 194 | -0.459499 | -0.251285 | -0.246596 | -0.199524 | -0.203506 | -0.324290 | -0.084117 | -1.739376 | -0.106195 | 0.456393 | 0.572598 | 0.664887 | -0.462531 | -0.065711 | -0.130952 | 0.262296 | 0.298893 | -0.122775 | -0.085350 | -0.413208 | -0.166308 | 1.920774 | -0.342107 | -0.610651 | 0.632394 | -0.226937 | 3.519148 | -0.181093 | 0.371785 | -0.574654 | 0.263416 | 0.089802 | -0.054671 | -0.114165 | -0.331635 | -0.549676 | 0.329956 | -0.137846 | 0.043993 | -1.403770 | -0.298355 | -0.304459 | 0.448324 | 0.228533 | -0.538110 | 0.291950 | 0.313588 | -0.053740 | 0.069352 | -0.155391 | -0.396663 | 0.761858 | -0.463935 | -0.674077 | -0.819566 | 0.749396 |
| 195 | 0.009365 | 0.916458 | -0.246596 | 0.318230 | 0.120178 | -0.347471 | -0.084117 | 0.472693 | -0.106195 | -0.507132 | 0.471331 | -0.269568 | 2.648425 | -0.321829 | -0.130952 | 0.124935 | -0.893520 | -0.382774 | -0.560357 | -0.581181 | -0.166308 | -1.143099 | -0.645888 | -0.083657 | 0.672971 | -0.292063 | -0.686369 | -0.073613 | -1.208963 | 0.777592 | 0.642685 | 0.404030 | 0.473305 | -0.114165 | -0.842924 | -0.226227 | -1.040938 | 0.097251 | 0.621808 | 1.102205 | -0.151895 | -0.057003 | -0.351439 | -0.170115 | 0.318227 | -0.507419 | -0.213255 | -0.058090 | -0.208868 | -0.212438 | -0.396663 | -0.476440 | -0.200202 | 0.950020 | -0.825739 | 0.749396 |
| 196 | -0.493599 | -1.594110 | -0.246596 | -0.211812 | 0.132166 | -0.281239 | 0.107070 | -0.553641 | -0.050518 | -0.204042 | -0.338813 | -0.276518 | -0.777169 | -0.130368 | -0.130952 | -0.231586 | 1.125121 | -0.387828 | 0.418309 | -0.371215 | -0.166308 | 0.116090 | -0.798756 | 0.163708 | 0.653957 | 0.499424 | -0.414538 | -0.181093 | -0.138918 | -0.240278 | 0.249958 | -0.489864 | -0.217917 | -0.114165 | -0.452606 | -0.698026 | -0.191227 | -0.837864 | -0.427051 | 0.254116 | -0.420340 | 0.072271 | -0.307331 | -0.379963 | 5.379274 | 0.484390 | -0.480085 | -0.065843 | -0.058718 | -0.167870 | -0.396663 | 2.756591 | -0.041515 | 1.998213 | 1.301265 | -1.334408 |
| 197 | 1.390385 | -0.518012 | 0.258581 | 1.167361 | -0.203506 | -0.688569 | -0.084117 | -0.700260 | -0.106195 | -0.913574 | -0.237545 | -0.503618 | -0.829839 | 0.612332 | -0.130952 | 0.107159 | 0.071161 | 3.247537 | 0.124734 | 1.882415 | -0.043833 | 8.085044 | -1.227779 | -0.019127 | 0.793474 | -0.797269 | -0.118849 | -0.181093 | -0.187557 | 1.358282 | 0.586776 | -0.640712 | -0.217723 | -0.114165 | 2.100633 | -0.546637 | 1.524418 | -0.201651 | -0.383087 | -1.298571 | 0.018808 | 0.290675 | -0.415260 | -0.331061 | -0.466076 | 0.110611 | -0.422869 | -0.019613 | -0.239782 | 0.801934 | -0.396663 | -0.726270 | -2.206513 | -0.138703 | -0.601852 | 0.749396 |
| 198 | 0.086089 | 1.099497 | 0.052511 | -0.071759 | -0.203506 | -1.013108 | -0.084117 | 1.191502 | -0.106195 | 0.533923 | -0.642617 | -0.171706 | -0.965739 | -0.176198 | -0.130952 | -0.195672 | 0.279449 | -0.317365 | -0.179709 | 0.762599 | -0.062969 | 0.725239 | 2.384895 | -0.890281 | 0.696865 | -0.987411 | -0.349802 | -0.181093 | -0.600983 | -0.154735 | -1.052787 | -0.190407 | -0.209958 | -0.114165 | 2.078661 | -0.558796 | 1.490957 | 0.275125 | -0.219792 | -0.164863 | -0.420340 | -0.300568 | -0.114388 | -0.223351 | -0.438920 | 0.778602 | -0.374206 | -0.064599 | 0.047271 | 1.087616 | -0.362519 | -0.761605 | 1.695103 | 0.690131 | -0.723600 | 0.749396 |
| 199 | -0.374251 | 0.273967 | 0.451108 | -0.331349 | -0.203506 | -0.248122 | -0.084117 | 0.692246 | -0.106195 | -0.276349 | 0.572598 | 0.099091 | -0.440111 | -0.148689 | -0.130952 | 0.013485 | -0.201365 | -0.231888 | 1.123284 | -0.217240 | -0.093588 | 0.405512 | -0.146532 | -0.879526 | 0.762753 | 0.026877 | 0.201469 | 0.462455 | -0.163238 | -0.360702 | 0.241510 | -0.344388 | -0.217917 | -0.114165 | 0.896103 | 0.086279 | 0.745685 | -0.369330 | -0.427051 | 1.102205 | -0.420340 | -0.169339 | -0.314625 | -0.379963 | -0.490589 | -0.588836 | -0.480085 | -0.051073 | -0.213284 | 0.106670 | -0.396663 | -0.541305 | 0.844674 | -0.454122 | 1.301265 | -1.334408 |
| 200 | 0.444131 | 1.045002 | 1.096141 | -0.022022 | -0.203506 | -0.700159 | 0.142611 | 0.359157 | 8.167960 | 6.279828 | 1.180206 | 1.034660 | 1.092961 | 2.601779 | 0.988672 | 0.847852 | 2.120241 | 0.089802 | 2.343529 | 1.000560 | 0.536012 | -0.096311 | -0.759848 | -1.175288 | 0.684001 | -1.004662 | -0.532039 | -0.181093 | -2.351966 | -0.986462 | -0.915268 | -0.122369 | -0.109022 | -0.114165 | 0.314575 | -0.136244 | -0.939540 | -0.165426 | -0.182108 | 0.522705 | 0.033892 | -0.018372 | -0.337590 | -0.104499 | -0.494685 | 1.641809 | 0.106513 | 0.148201 | -0.239782 | 0.059428 | -0.396663 | -0.724829 | 3.457982 | -0.781711 | -0.822326 | 0.749396 |
| 201 | -0.459499 | 0.267206 | -0.246596 | -0.353680 | 0.138445 | -0.016308 | -0.084117 | -1.739376 | -0.075279 | -0.419554 | 0.673866 | 0.135076 | -0.112319 | -0.200008 | -0.130952 | -0.282162 | 0.160772 | -0.270390 | -0.660273 | -0.805144 | -0.166308 | -1.103133 | 0.554270 | -0.664426 | 0.699489 | -0.068776 | -1.008433 | -0.181093 | -1.063048 | 0.241421 | -0.294392 | -0.817074 | 3.042338 | -0.114165 | 0.882524 | 0.189637 | -0.688075 | -0.355922 | 1.815121 | 1.102205 | -0.420340 | -0.191384 | -0.268989 | 3.406579 | 0.015914 | 0.576910 | 4.082878 | -0.056624 | 0.250415 | 0.306336 | -0.396663 | -0.593720 | -2.042611 | 0.109647 | -0.829461 | 0.749396 |
| 202 | 0.026415 | -0.326015 | -0.246596 | -0.364175 | -0.203506 | -0.715062 | -0.082891 | 0.818564 | -0.106195 | -0.418237 | -0.035009 | 0.002673 | -0.705150 | 0.381475 | -0.130952 | -0.334312 | -0.370765 | -0.447885 | -0.666449 | 0.314672 | 0.074816 | 0.604812 | 0.349025 | -0.599896 | -0.350076 | 0.365200 | -0.714028 | -0.181093 | -1.136006 | 0.289265 | 3.690297 | 0.061154 | -0.182783 | -0.114165 | 0.589230 | -0.411663 | 0.190027 | 0.003199 | -0.156986 | 1.102205 | -0.420340 | -0.298631 | -0.206596 | -0.184353 | -0.515467 | 0.950689 | -0.264763 | -0.065843 | -0.094047 | -0.517285 | -0.300591 | -0.734590 | 0.607016 | 1.468539 | -0.798243 | 0.749396 |
| 203 | -0.536223 | 1.040771 | -0.134426 | -0.245956 | -0.203506 | -0.672010 | -0.024065 | -1.739376 | -0.106195 | -0.189673 | -0.237545 | 0.035879 | -0.984272 | 0.035883 | -0.130952 | -0.102032 | 0.322053 | -0.199779 | -0.184032 | 0.314672 | -0.166308 | -0.166185 | -0.123279 | -0.288002 | -1.327523 | -0.565550 | 0.549797 | -0.181093 | -0.211876 | -0.986462 | -0.268907 | -0.649664 | 0.035590 | -0.114165 | 1.565396 | -0.698026 | 2.619510 | 0.126186 | -0.018813 | -1.425536 | -0.066544 | -0.304459 | -0.212609 | 0.008162 | -0.269746 | -0.679505 | 0.264678 | -0.061231 | -0.239782 | 0.393689 | 0.651057 | -0.661258 | -0.643483 | -0.701143 | -0.825269 | 0.749396 |
| 204 | 0.128713 | 0.698022 | 0.134482 | -0.251355 | 0.513793 | 0.400957 | 0.160994 | -0.480707 | -0.106195 | -0.295224 | 0.572598 | -0.569720 | 0.869171 | 0.707726 | 0.268511 | -0.068642 | 0.041409 | -0.499765 | -0.100418 | -0.273231 | -0.166308 | 0.082609 | 0.511218 | 0.228238 | -1.327523 | 0.152185 | -0.646176 | -0.181093 | 1.879575 | 0.010801 | 4.486777 | 0.368221 | 0.798438 | -0.114165 | -0.069447 | 0.240708 | -1.176810 | -0.080106 | 1.676948 | -1.129694 | 1.073502 | -0.296201 | 0.021731 | 1.051829 | -0.608560 | 3.583794 | 0.547370 | -0.056067 | 0.148843 | 0.626335 | -0.396663 | -0.678933 | 0.596586 | 0.205811 | -0.823288 | 0.749396 |
| 205 | -0.161131 | 0.262828 | -0.095560 | 0.482579 | -0.193230 | -0.142150 | -0.084117 | -0.300253 | -0.043593 | -0.002888 | -0.136277 | -0.243026 | 2.648425 | 0.000825 | -0.130952 | 0.446232 | 0.372799 | 1.267003 | 0.411516 | -0.273231 | -0.166308 | 2.209269 | -0.447435 | 0.217483 | 0.699992 | -0.393821 | -0.530192 | -0.181093 | 2.317321 | 0.632494 | -0.253873 | 1.045916 | -0.099316 | -0.114165 | -0.872056 | -0.409231 | 1.901616 | -0.159507 | 0.069116 | 1.102205 | -0.420340 | -0.125197 | 1.067761 | 0.175916 | -0.435590 | -0.350136 | 0.105939 | -0.051044 | -0.239782 | -0.927312 | -0.293944 | -0.212234 | 0.707592 | 0.825460 | -0.813779 | 0.749396 |
| 206 | -0.271953 | -0.513375 | -0.246596 | -0.411731 | -0.203506 | 1.689179 | -0.084117 | -0.161905 | -0.106195 | 0.080466 | 0.876402 | -0.400625 | -0.779141 | -0.041476 | -0.130952 | -0.354385 | 1.373647 | -0.569187 | 1.036583 | 0.370663 | -0.166308 | -0.986941 | -0.299401 | -0.379419 | 0.749174 | 2.013588 | 2.038361 | -0.181093 | -0.284834 | -0.468377 | -0.536464 | -0.976873 | -0.217917 | -0.114165 | -0.115861 | -0.566700 | -0.333184 | -0.015189 | -0.427051 | 1.102205 | -0.420340 | 0.029415 | -0.116803 | -0.379963 | -0.344856 | 2.171946 | -0.480085 | -0.065843 | -0.239782 | 1.273465 | -0.015851 | 0.874221 | -0.016930 | -0.276760 | 1.301265 | -1.334408 |
| 207 | 0.657251 | 0.514617 | 0.577984 | -0.077072 | -0.203506 | -0.277927 | -0.084117 | 2.268213 | 0.037931 | 0.657267 | 1.686546 | 0.701579 | -0.324829 | -0.135038 | -0.130952 | 0.116736 | 0.421309 | -0.544362 | -0.282343 | -0.077263 | -0.116552 | -0.633600 | 0.128471 | -0.911791 | -1.327523 | 0.820205 | -0.584100 | -0.181093 | -0.382110 | -0.034946 | 0.037415 | 1.686906 | -0.117757 | -0.114165 | 0.637619 | 0.705819 | 1.938119 | 0.146366 | 0.458513 | -1.141988 | -0.420340 | 0.013938 | -0.060423 | 0.131347 | -0.026069 | 1.812971 | -0.208284 | -0.055356 | 0.197421 | 0.415973 | -0.123113 | 0.628699 | -1.074843 | -1.288760 | -0.793162 | 0.749396 |
| 208 | -0.689669 | -0.209472 | -0.246596 | -0.432550 | -0.203506 | -0.118969 | -0.084117 | -1.739376 | -0.106195 | -0.166782 | -0.237545 | -0.031834 | 0.250793 | -0.019028 | -0.130952 | -0.201412 | -0.621326 | -0.018122 | 0.390273 | -0.945121 | -0.166308 | 0.239032 | -0.164144 | -0.825751 | -0.513581 | -0.213466 | -0.893175 | -0.181093 | -1.184644 | 0.100219 | 0.057674 | -0.779474 | 0.898404 | -0.114165 | -0.303490 | -0.291889 | -1.288348 | -0.463043 | 2.895384 | -1.219001 | -0.420340 | -0.304459 | -0.336358 | 1.728417 | -0.226758 | 0.423327 | 0.517815 | -0.038626 | -0.032221 | 0.238592 | -0.396663 | -0.668890 | -1.760625 | 0.520811 | -0.819255 | 0.749396 |
| 209 | -0.297528 | -0.706154 | -0.246596 | 0.618724 | -0.203506 | 0.351282 | -0.084117 | -0.280704 | -0.106195 | -0.003684 | -0.440081 | -0.048602 | -0.601838 | 0.148410 | -0.130952 | 0.148485 | 0.368326 | 0.499347 | -0.045828 | -0.301227 | -0.166308 | 0.117281 | 0.030280 | -0.524611 | 0.780212 | 0.714376 | -0.664969 | -0.181093 | -0.673941 | -0.008197 | -0.725991 | 0.293916 | -0.217917 | -0.114165 | -1.106840 | -0.096117 | -0.420385 | 0.186427 | -0.427051 | 1.102205 | -0.420340 | 0.029168 | -0.344835 | -0.379963 | -0.136460 | -0.348286 | -0.480085 | -0.065843 | -0.239782 | 0.629901 | -0.396663 | 2.051037 | -0.479208 | 1.205572 | 1.301265 | -1.334408 |
| 210 | -0.425400 | -0.218053 | 0.034016 | -0.286212 | -0.203506 | 1.328212 | -0.084117 | 1.024582 | -0.106195 | 0.290820 | 0.572598 | 0.250115 | -0.119276 | -0.181260 | -0.130952 | -0.372752 | -0.443299 | -0.457993 | -0.002354 | 0.118704 | 0.025060 | -0.137600 | -0.750179 | -0.180452 | 0.852796 | -0.625539 | 0.526987 | -0.181093 | -0.795537 | -0.986462 | -0.778608 | -0.796483 | -0.217917 | -0.114165 | -0.480750 | -0.698026 | -0.432553 | -0.491165 | -0.427051 | 1.102205 | 0.930814 | -0.109614 | -0.312308 | -0.379963 | -0.467850 | -0.921907 | -0.480085 | -0.045276 | -0.239782 | 1.854635 | -0.396663 | 0.009044 | -0.986560 | -0.671489 | 1.301265 | -1.334408 |
| 211 | 0.086089 | 0.766083 | 0.235397 | -0.270447 | -0.203506 | -0.122280 | -0.084117 | -1.739376 | -0.106195 | 0.904612 | 0.977670 | 0.643508 | -1.003960 | -0.193695 | -0.130952 | -0.409815 | 0.321390 | 0.415505 | -0.190331 | -0.217240 | -0.093588 | 0.068581 | 0.718074 | -0.438572 | -1.327523 | 0.898026 | 0.327152 | -0.181093 | -0.819856 | -0.664284 | -0.930086 | -0.613855 | -0.084758 | -0.114165 | 0.520104 | 0.164102 | 0.329956 | -0.156579 | 0.270095 | -1.221153 | -0.420340 | -0.304459 | -0.110741 | 0.421048 | -0.353811 | 2.059072 | 0.149717 | -0.055433 | 0.170924 | 2.708561 | -0.396663 | -0.584063 | -0.094038 | 0.335056 | -0.809131 | 0.749396 |
| 212 | -0.578847 | -0.766935 | -0.246596 | -0.398859 | -0.203506 | -1.029666 | -0.084117 | -0.488226 | -0.106195 | -0.484905 | -2.161636 | -0.685267 | -1.023873 | -0.063096 | -0.130952 | -0.323882 | -0.530697 | -0.595499 | 0.193651 | -0.301227 | -0.166308 | 0.081021 | -0.321042 | 0.163708 | -1.327523 | -0.660815 | 1.036890 | -0.181093 | -0.114599 | -0.352951 | -0.396117 | -1.213664 | -0.217917 | -0.114165 | -0.086235 | -0.698026 | -0.684019 | -0.322580 | -0.427051 | -1.030890 | 0.216140 | -0.296289 | -0.098568 | -0.379963 | -0.100590 | 0.519548 | -0.480085 | -0.065843 | -0.067550 | -0.884527 | -0.396663 | 1.606678 | 0.123132 | 0.334986 | 1.301265 | -1.334408 |
| 213 | 0.213961 | -0.298118 | -0.246596 | -0.355148 | -0.203506 | -0.473313 | -0.057155 | -0.182958 | -0.106195 | 0.110827 | -0.237545 | -0.437802 | -0.980328 | -0.034680 | -0.130952 | -0.400303 | -1.288794 | -0.438073 | -0.104741 | 0.006723 | -0.166308 | -0.598928 | 0.096239 | -0.255737 | -1.327523 | 0.464923 | -0.814496 | -0.181093 | -0.795537 | -0.434660 | -0.745105 | -1.525206 | 0.636357 | -0.114165 | -0.412118 | 0.953879 | -0.852339 | -0.217762 | 1.274990 | 1.102205 | -0.420340 | -0.083766 | -0.202703 | 0.930501 | 2.218186 | 0.604666 | 0.587737 | -0.061187 | -0.023388 | 0.760040 | -0.258748 | -0.686358 | -0.254215 | -0.555252 | -0.823631 | 0.749396 |
| 214 | -0.485074 | 1.865249 | -0.246596 | -0.478507 | -0.203506 | -0.327601 | -0.084117 | -0.793495 | -0.106195 | -0.668787 | -2.566707 | -0.251344 | -0.378343 | -0.017172 | -0.130952 | -0.294888 | -0.906704 | -0.164696 | -0.363734 | -0.917126 | -0.158653 | -0.701887 | -0.823851 | -0.094412 | -1.327523 | 0.534991 | -0.837601 | -0.181093 | 0.420423 | 0.180383 | 0.440523 | 0.124716 | -0.183754 | 0.086643 | -0.653814 | -0.099765 | -0.477168 | -0.321635 | -0.144425 | -0.766864 | 0.180891 | -0.304459 | -0.041499 | 0.083064 | 0.058691 | -0.586986 | -0.019436 | -0.065843 | -0.239782 | -1.189373 | 0.172850 | -0.167930 | -1.984128 | -0.613930 | -0.795688 | 0.749396 |
| 215 | -0.485074 | 0.808808 | 0.035442 | -0.352557 | -0.203506 | -0.748178 | -0.084117 | -0.420556 | -0.106195 | 0.041762 | -1.250224 | -0.535610 | 0.312927 | -0.166200 | -0.130952 | -0.300660 | -0.773495 | -0.758723 | -0.250108 | -0.693162 | -0.166308 | -0.593105 | -0.219628 | -0.556876 | -1.327523 | 0.949971 | 0.157072 | -0.181093 | 1.004084 | -0.693194 | -0.510227 | -0.519855 | -0.099316 | -0.114165 | 0.049796 | -0.698026 | 1.467635 | 0.013673 | 0.006310 | -1.114855 | -0.420340 | -0.304459 | -0.270763 | 0.241532 | 1.412135 | 1.061712 | 0.269074 | -0.060641 | 0.201837 | -0.811435 | -0.378794 | -0.464447 | -0.168539 | -1.043978 | -0.816123 | 0.749396 |
| 216 | -0.220805 | -0.176832 | 1.813728 | -0.028696 | 2.033736 | 0.460566 | -0.084117 | -0.134837 | -0.106195 | 0.121239 | -0.035009 | 0.061406 | -0.606350 | 0.084048 | 0.152824 | -0.359305 | -0.602391 | -0.263701 | -0.865418 | -0.021273 | 1.831573 | -0.440653 | 0.572227 | -0.288002 | 1.131433 | -0.697061 | 4.966270 | 0.976893 | 2.584832 | 0.384550 | -0.378578 | 0.009231 | 0.064706 | 1.013603 | -0.689858 | -0.698026 | 0.192055 | 0.080713 | 0.471074 | 0.577801 | 0.754569 | 0.254403 | -0.248980 | 0.179631 | 2.012142 | 0.247540 | 0.022397 | -0.057926 | -0.023388 | 0.452519 | 0.175623 | -0.298691 | 0.045651 | -0.257247 | -0.818313 | 0.749396 |
| 217 | 0.162812 | -1.134239 | -0.246596 | 0.279918 | -0.203506 | -0.238187 | -0.084117 | 0.944882 | 0.038112 | 0.251919 | 0.167527 | -0.198921 | 0.565826 | -0.095721 | -0.130952 | -0.204823 | 0.088060 | 0.183900 | 0.223169 | -0.105259 | -0.166308 | -0.118544 | 0.434783 | -1.944270 | 0.644792 | -0.751913 | -0.334065 | -0.181093 | -0.868494 | -0.528399 | -0.551318 | 2.098715 | -0.057583 | -0.114165 | -0.468900 | 0.410945 | 1.021486 | 0.421352 | 0.207289 | -0.283431 | -0.420340 | -0.304459 | -0.086790 | 0.130109 | -0.323757 | 0.362264 | 0.009514 | -0.051344 | 0.113513 | 0.522937 | -0.396663 | 0.041821 | 0.357065 | -1.016702 | -0.814815 | 0.749396 |
| 218 | 0.358883 | 0.761230 | 0.523737 | 0.059634 | 0.497808 | 0.755301 | -0.084117 | -0.158897 | -0.106195 | 0.567083 | 1.281474 | 0.348828 | 1.190795 | -0.321829 | -0.130952 | 0.131954 | 3.445308 | 0.085193 | -0.049410 | 0.398658 | -0.166308 | 0.064346 | -0.088861 | 0.163708 | -0.643541 | -1.825900 | -0.731666 | 0.628000 | -0.576664 | 0.896958 | 0.264561 | 1.178411 | -0.144932 | -0.114165 | -0.861687 | -0.698026 | -0.862478 | -0.147823 | -0.069057 | -0.303278 | 0.451337 | 0.067852 | -0.325319 | -0.136069 | -0.681442 | -0.709112 | -0.190743 | -0.046142 | -0.147042 | -0.122411 | 0.178285 | -0.564049 | 0.846164 | 1.637438 | -0.810527 | 0.749396 |
| 219 | -0.433925 | -0.678325 | -0.246596 | -0.086315 | 0.029409 | -0.254746 | -0.084117 | 0.257652 | -0.080394 | -0.973301 | -1.959100 | -0.722797 | -0.713318 | 0.084224 | -0.130952 | -0.232177 | -0.237709 | -0.513887 | 0.247129 | -0.609176 | -0.166308 | 1.131779 | -0.482889 | -0.309512 | 0.770749 | 0.324593 | -0.971586 | 0.130365 | -1.208963 | 1.116840 | 0.881787 | 0.296602 | -0.217917 | -0.114165 | -0.301762 | -0.698026 | -0.505559 | 2.415644 | -0.427051 | -1.136529 | -0.420340 | -0.267518 | 0.087031 | -0.379963 | 0.366078 | 1.633483 | -0.480085 | -0.065843 | -0.116128 | -0.212438 | 0.345196 | 0.939046 | -0.248255 | 3.795999 | 1.301265 | -1.334408 |
| 220 | -0.553272 | -1.124011 | -0.246596 | -0.470128 | 0.081358 | -0.840903 | 0.260877 | -1.393505 | -0.051922 | -0.119584 | -1.554028 | -0.605860 | -0.554999 | -0.271961 | 0.423184 | -0.379312 | -0.392576 | -0.329109 | -0.699919 | -0.077263 | -0.166308 | 0.213887 | 1.743491 | 0.540133 | -0.275216 | -0.099400 | -0.839200 | 0.214386 | 1.490468 | 0.091621 | 0.511895 | -0.504636 | -0.182783 | -0.114165 | 0.218909 | 0.499711 | -1.308627 | -0.488229 | -0.219792 | -1.139894 | 1.561368 | 0.050174 | -0.307971 | -0.189305 | -0.415694 | 0.317855 | -0.203073 | -0.057640 | 0.113513 | -0.703580 | -0.293482 | -0.638176 | 0.588018 | -0.172273 | -0.806036 | 0.749396 |
| 221 | -0.067358 | -0.375096 | -0.079579 | -0.110244 | -0.203506 | 0.175766 | -0.084117 | 0.217049 | -0.106195 | 0.012705 | 0.876402 | -0.234311 | -0.471544 | -0.149472 | -0.130952 | -0.211251 | 0.394409 | -0.218212 | 0.235272 | -0.385213 | -0.166308 | -0.916802 | -0.292379 | -0.610651 | 0.665820 | -0.719738 | 1.350613 | -0.181093 | -0.722579 | -0.132730 | -0.072042 | -0.449131 | -0.142991 | -0.114165 | 0.123366 | -0.533869 | 0.220447 | -0.077947 | -0.357965 | -1.076828 | -0.420340 | -0.304459 | -0.211722 | -0.208495 | -0.513667 | 0.599114 | 0.606975 | -0.049709 | 0.025190 | -0.062689 | -0.396663 | -0.703254 | 0.959033 | 0.869731 | -0.828097 | 0.749396 |
| 222 | -0.416875 | -0.683779 | -0.175317 | -0.233301 | -0.203506 | 1.285161 | -0.084117 | 0.068175 | -0.106195 | -0.387517 | -0.237545 | -0.411944 | 0.963976 | -0.221844 | -0.130952 | -0.091667 | 0.350941 | -0.710410 | 0.160428 | -0.217240 | -0.166308 | -0.982309 | -1.191748 | -0.427817 | 1.021866 | -0.457977 | -0.581790 | -0.181093 | -1.063048 | -0.314574 | 0.154603 | -0.474198 | -0.121639 | -0.114165 | -0.415327 | -0.698026 | -0.795556 | 0.209991 | -0.320281 | -0.823796 | -0.420340 | -0.238554 | -0.175302 | -0.316823 | -0.569986 | -0.748895 | -0.109526 | -0.065843 | -0.239782 | -0.518176 | 0.732273 | -0.627107 | 0.146228 | -0.633443 | -0.827343 | 0.749396 |
| 223 | -0.352939 | 0.410531 | -0.246596 | -0.401861 | -0.203506 | -0.335880 | -0.084117 | 1.035109 | -0.106195 | 0.120888 | 0.370063 | 0.190114 | -0.818601 | -0.140737 | -0.130952 | 0.091940 | 0.157032 | 0.621541 | -0.050028 | -0.525190 | -0.131862 | -0.372764 | 0.227582 | 1.922149 | -1.327523 | 0.400573 | 0.213754 | -0.181093 | 0.651455 | 0.751161 | 0.628654 | -0.723074 | -0.081846 | -0.114165 | -0.226587 | 0.165318 | -0.278429 | -0.121618 | -0.119302 | 0.550190 | -0.420340 | 0.789284 | 0.199347 | 0.023019 | 0.004800 | 0.261418 | 0.266719 | -0.041985 | -0.239782 | -1.154610 | 2.261946 | -0.043623 | 0.170068 | 0.871724 | -0.822308 | 0.749396 |
| 224 | -0.152606 | -0.390568 | -0.246596 | -0.162767 | 0.494669 | 0.233719 | -0.084117 | 0.690742 | -0.073694 | 0.586900 | -0.440081 | -0.271929 | -0.760467 | -0.101445 | -0.130952 | -0.437169 | -0.292657 | -0.517975 | -0.483288 | -0.357217 | 0.067161 | -0.738279 | 0.012783 | 1.454307 | 0.849290 | -0.282081 | -0.318872 | -0.181093 | 1.952533 | 0.201646 | -0.135826 | 0.474754 | -0.217917 | -0.114165 | 0.283345 | -0.267570 | 1.585256 | 0.140664 | -0.427051 | -0.823639 | -0.420340 | -0.298543 | -0.066929 | -0.379963 | -0.236684 | -0.105884 | -0.480085 | -0.065843 | -0.239782 | 1.562267 | -0.396663 | 0.775115 | -0.733629 | -0.518780 | 1.301265 | -1.334408 |
| 225 | -0.306053 | 0.606259 | -0.246596 | -0.416050 | 0.339106 | -0.410392 | -0.084117 | -0.175439 | -0.106195 | 0.075749 | 0.572598 | -0.115477 | 2.648425 | 0.038617 | -0.130952 | 0.052188 | -0.320220 | -0.206617 | 0.699533 | -0.609176 | -0.166308 | -0.782877 | -0.005059 | -0.513856 | 0.578873 | 0.503591 | 1.099476 | -0.181093 | 0.250189 | 0.090731 | 0.740831 | -0.877950 | 0.520862 | -0.114165 | 0.656382 | 0.449856 | -0.248010 | -0.116342 | 0.282656 | -1.147354 | -0.420340 | -0.183460 | -0.272783 | 0.232247 | -0.458260 | -0.712812 | 0.657066 | -0.052975 | 0.060519 | -0.418343 | -0.115047 | 0.193088 | -0.533594 | 1.582607 | -0.828219 | 0.749396 |
| 226 | -0.672620 | -0.693603 | -0.246596 | -0.386117 | -0.203506 | 0.112845 | -0.084117 | 0.409534 | -0.106195 | -0.089253 | -3.073047 | -0.513149 | -0.831529 | -0.147789 | -0.130952 | -0.327490 | 0.178358 | -0.449520 | -0.529480 | 0.118704 | -0.166308 | -0.525349 | -0.391260 | 0.722967 | 0.987781 | 4.801573 | -0.635093 | -0.181093 | 1.174318 | 0.565885 | -0.743029 | -1.140254 | -0.217917 | -0.114165 | -0.024021 | 1.498028 | 0.234642 | 0.108944 | -0.427051 | 0.065577 | -0.420340 | -0.066229 | -0.405354 | -0.379963 | -0.345013 | -0.037420 | -0.480085 | -0.065843 | -0.204452 | -0.397842 | 0.508328 | 1.278297 | 0.183851 | 1.772349 | 1.301265 | -1.334408 |
| 227 | -0.583109 | -0.560031 | -0.246596 | -0.463930 | -0.203506 | -0.609090 | -0.084117 | -0.507775 | -0.054909 | 0.164180 | -2.262903 | -0.342312 | -0.134739 | -0.129118 | -0.130952 | 0.685432 | -0.732440 | -0.300121 | 0.087065 | -0.721158 | -0.166308 | 1.033717 | -0.265558 | -0.067524 | -1.327523 | 2.084528 | 0.766020 | -0.181093 | 0.055635 | -0.570101 | 0.313563 | -0.550740 | -0.217917 | -0.114165 | -0.582589 | -0.144756 | -0.191227 | -0.179889 | -0.427051 | 0.160818 | -0.420340 | -0.304459 | -0.444386 | -0.379963 | -0.506021 | 0.266969 | -0.480085 | -0.049070 | -0.094047 | -0.967869 | -0.396663 | -0.605179 | -0.566560 | 0.412268 | 1.301265 | -1.334408 |
| 228 | -0.553272 | -0.140743 | -0.059884 | 0.200702 | -0.203506 | -0.575973 | -0.084117 | -1.123576 | -0.106195 | -0.368323 | -0.338813 | -0.229953 | -0.637975 | 0.402186 | -0.130952 | -0.260351 | 0.017053 | -0.584499 | -0.315196 | -0.245236 | -0.166308 | 0.403659 | -0.083335 | -0.610651 | -1.327523 | -0.972487 | -0.597030 | -0.181093 | -1.306240 | -0.172695 | -0.232827 | 0.138145 | -0.158520 | -0.114165 | 0.711436 | -0.698026 | 1.097535 | -0.250320 | -0.106741 | -1.278794 | -0.420340 | -0.300497 | -0.121041 | -0.092119 | -0.461122 | -0.498167 | -0.139161 | -0.054175 | -0.239782 | -0.049319 | 0.159396 | -0.751644 | 0.211788 | 1.072201 | -0.808349 | 0.749396 |
| 229 | 2.132044 | 1.112246 | -0.246596 | 8.237573 | 0.728726 | 0.382743 | -0.084117 | 0.183966 | 0.325279 | -0.468108 | 0.775134 | -0.383085 | 2.648425 | -0.321829 | -0.130952 | -0.189670 | -0.907213 | 3.049751 | -0.219973 | 1.826424 | -0.001732 | -0.953592 | 0.028668 | 0.260503 | 1.009095 | -1.450267 | -0.903237 | 0.083447 | -0.017322 | 1.489000 | -0.104256 | 0.268850 | 0.605299 | -0.114165 | -0.302256 | -0.209203 | -0.866534 | 0.680378 | 0.722298 | 1.102205 | -0.373701 | 0.201862 | -0.401165 | -0.011646 | 1.215086 | -1.025528 | -0.028366 | -0.065843 | -0.239782 | -1.026254 | -0.396663 | -0.573377 | 1.025712 | 0.660092 | -0.826284 | 0.749396 |
| 230 | -0.433925 | -0.881536 | -0.246596 | -0.438467 | -0.203506 | -0.811099 | -0.084117 | 1.041124 | -0.106195 | 0.344886 | -0.136277 | -0.201105 | -0.966302 | -0.321829 | -0.130952 | -0.253037 | -0.185637 | -0.174805 | 0.435600 | -0.189245 | -0.166308 | 0.628897 | -0.850787 | 1.766201 | 0.898285 | 0.773105 | 0.390813 | -0.181093 | 0.906807 | 0.334779 | -0.055720 | -1.469702 | -0.217917 | -0.114165 | 0.295936 | -0.385520 | -0.156752 | -0.374908 | -0.427051 | 1.102205 | -0.420340 | 0.041282 | -0.304965 | -0.379963 | -0.345797 | 0.066202 | -0.480085 | -0.065843 | -0.239782 | -0.223135 | -0.396663 | 0.146037 | -0.017302 | 1.300758 | 1.301265 | -1.334408 |
| 231 | -0.459499 | -0.928763 | -0.246596 | -0.389314 | -0.203506 | -0.440197 | -0.084117 | -0.148371 | -0.056131 | -0.370525 | -0.642617 | -0.402655 | 0.137398 | -0.050709 | -0.130952 | -0.217614 | -0.488957 | 0.385477 | -0.202558 | -0.413208 | -0.166308 | -0.907803 | -0.222506 | -0.277247 | 0.467771 | -0.561480 | -0.059823 | -0.181093 | -0.795537 | -0.828317 | 0.513971 | 0.204392 | -0.110963 | -0.114165 | -0.347929 | -0.521709 | 0.603729 | -0.431960 | 0.320339 | -0.877106 | -0.159283 | -0.170712 | -0.284907 | 0.149299 | -0.480963 | -0.746120 | -0.132403 | -0.056416 | -0.089631 | -0.772215 | -0.396663 | -0.746603 | -0.744804 | -0.949981 | -0.801360 | 0.749396 |
| 232 | -0.604421 | -0.651509 | -0.246596 | -0.341542 | -0.081054 | -0.301108 | -0.055316 | 0.872700 | -0.106195 | -0.452702 | 0.268795 | 0.146340 | -0.285439 | -0.183335 | 0.006751 | 0.057305 | 0.325769 | -0.179562 | -0.123761 | -0.469199 | -0.124207 | -0.175846 | 0.288706 | 0.271258 | 0.747321 | -0.850086 | 0.518356 | -0.181093 | 1.356712 | -0.184301 | 0.481542 | -0.951807 | -0.217917 | -0.114165 | -0.715904 | 0.125191 | -0.577551 | -0.164688 | -0.427051 | 1.102205 | 0.195899 | 0.442117 | -0.312998 | -0.379963 | -0.580325 | -0.375116 | -0.480085 | -0.045377 | -0.049886 | -1.066365 | 0.031603 | 0.580811 | 1.368416 | 0.455699 | 1.301265 | -1.334408 |
| 233 | -0.574584 | 0.461618 | -0.246596 | -0.369035 | -0.203506 | -0.215006 | 0.042115 | -1.739376 | -0.106195 | 0.243682 | 0.066259 | -0.277026 | -0.288275 | -0.264907 | 0.264791 | -0.437169 | -0.224881 | -0.443722 | -0.362993 | 0.048716 | -0.166308 | 0.515881 | -0.037406 | -0.427817 | 1.085248 | 0.348337 | 0.544517 | -0.181093 | -0.856335 | -0.609197 | -0.684650 | -0.967473 | -0.217723 | -0.114165 | 0.273223 | -0.359984 | -0.613041 | -0.337901 | -0.383087 | -0.478199 | 0.252235 | -0.173230 | -0.375834 | -0.379963 | -0.436025 | -0.751671 | -0.468161 | -0.038249 | -0.239782 | 0.220765 | -0.396663 | -0.454862 | 1.555786 | -0.820456 | -0.601852 | 0.749396 |
| 234 | -0.450975 | 1.447330 | 2.557050 | -0.471380 | 0.864878 | -0.215006 | -0.057767 | 0.955408 | 0.001266 | 0.567790 | 0.167527 | 0.419475 | -0.189521 | -0.048441 | 0.231404 | -0.437169 | 1.028232 | -0.251808 | -0.433268 | -0.245236 | 2.486051 | 0.478297 | 0.457691 | -0.707446 | 1.074983 | 1.038646 | 0.056188 | 1.116484 | -0.357791 | 0.152468 | -0.270482 | -0.749931 | 0.137497 | 4.007461 | -0.657270 | 0.089319 | 0.585477 | 0.036855 | 0.898154 | -0.334180 | -0.127421 | 0.167686 | -0.352030 | 0.602421 | -0.297613 | 0.169824 | 0.181632 | -0.040736 | 0.126762 | 0.538981 | -0.396663 | -0.305351 | -1.236138 | 2.542993 | -0.815876 | 0.749396 |
| 235 | -0.450975 | 0.188029 | 0.054950 | 0.519380 | -0.203506 | -0.705127 | -0.084117 | 0.087724 | -0.106195 | -0.377873 | 0.673866 | 0.050551 | -0.958444 | -0.105689 | -0.130952 | -0.417883 | 0.104984 | -0.035961 | -0.716222 | -0.105259 | 0.044197 | -0.397246 | 0.298606 | -1.288216 | -0.347589 | -0.194568 | -0.654787 | -0.181093 | -0.698260 | -0.091007 | -0.819770 | -0.276350 | 0.154967 | -0.114165 | 1.413565 | -0.274866 | 0.384710 | 7.493128 | 0.835348 | -0.985785 | -0.420340 | -0.113259 | -0.057023 | 0.411144 | 0.065237 | 1.581672 | 0.094809 | -0.065843 | -0.098464 | -0.244527 | -0.325889 | -0.668188 | 0.848399 | 1.057724 | -0.817404 | 0.749396 |
| 236 | -0.144081 | -0.789325 | -0.246596 | 0.070346 | 0.113327 | 0.586408 | -0.084117 | 0.498257 | -0.106195 | -0.419172 | -0.237545 | 0.239415 | -0.522242 | -0.077540 | -0.130952 | 0.277121 | -0.369747 | -0.402991 | -0.169829 | 0.426654 | -0.116552 | -0.766732 | 0.081390 | -0.911791 | 0.715959 | -0.381901 | -0.349137 | -0.181093 | -0.455068 | 0.015397 | -0.090726 | 0.625154 | -0.217917 | -0.114165 | -0.703684 | 0.440129 | -0.359547 | 0.560279 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | 0.218370 | -0.379963 | -0.524547 | 0.073603 | -0.480085 | -0.049428 | -0.239782 | 0.456085 | -0.396663 | 5.602372 | -1.571392 | 1.383075 | 1.301265 | -1.334408 |
| 237 | -0.075883 | -1.209428 | -0.246596 | 1.134232 | -0.203506 | -0.221629 | -0.064508 | -1.739376 | -0.071114 | -0.446105 | 0.167527 | 0.060634 | 0.856440 | 0.129363 | -0.130952 | -0.283146 | -0.658179 | 1.344006 | -0.040394 | 0.146700 | -0.166308 | -0.118279 | 0.495102 | 1.131657 | 0.480859 | -0.873830 | -0.837951 | -0.181093 | -0.880654 | -0.358796 | -0.522934 | -1.199788 | 1.186656 | -0.114165 | -0.559012 | -0.450574 | -1.109888 | -0.562159 | 2.970751 | -0.528236 | -0.087016 | -0.185239 | 0.017838 | 1.090208 | -0.155494 | -0.309427 | 0.284035 | -0.028265 | 0.360820 | 0.964162 | -0.396663 | -0.510460 | 0.193163 | -1.178398 | -0.821740 | 0.749396 |
| 238 | -0.621471 | -1.594110 | -0.246596 | -0.103031 | -0.203506 | -0.642206 | -0.084117 | 0.453144 | -0.106195 | -0.021100 | -0.440081 | -0.281880 | -0.436787 | -0.226104 | -0.130952 | -0.274487 | 1.569260 | -0.627906 | -0.487735 | -0.077263 | -0.166308 | 0.522498 | -0.437074 | -0.309512 | 0.828548 | 0.522489 | 5.120794 | -0.181093 | -0.114599 | -0.621460 | -0.787843 | 0.075478 | -0.217917 | -0.114165 | 2.297150 | -0.698026 | 0.384710 | -0.359512 | -0.427051 | 1.102205 | -0.420340 | -0.256496 | 0.046767 | -0.379963 | -0.505790 | -0.218758 | -0.480085 | -0.065843 | -0.138209 | 0.366948 | -0.396663 | -0.225749 | 1.315148 | -0.777235 | 1.301265 | -1.334408 |
| 239 | 0.401507 | 1.203008 | -0.246596 | -0.424602 | -0.203506 | -1.225052 | -0.084117 | -0.622063 | -0.106195 | -0.658227 | 1.889081 | 0.040843 | -0.655804 | -0.055190 | 0.053296 | -0.360813 | 0.258478 | -1.004004 | -0.377567 | 0.062714 | -0.166308 | -2.023407 | -1.171604 | -1.815210 | -1.327523 | -1.909536 | -0.918228 | -0.181093 | -2.035816 | -0.986462 | -2.656914 | -1.720368 | 4.200198 | -0.114165 | -0.643692 | 0.055272 | -1.118000 | -0.837864 | 6.211538 | 1.102205 | -0.100330 | -0.304459 | -0.407572 | 7.377589 | -0.348116 | -1.384504 | 3.183529 | -0.051499 | -0.239782 | -0.509262 | -0.063098 | -0.761004 | -1.505459 | -1.017961 | -0.825833 | 0.749396 |
| 240 | 1.219889 | 0.253052 | 0.119100 | -0.156547 | -0.203506 | 1.099710 | -0.084117 | 0.502769 | -0.003894 | 0.611436 | 0.572598 | 0.131348 | -0.049735 | -0.190574 | -0.130952 | 0.383980 | -0.045173 | -0.118910 | -0.267646 | 1.042553 | -0.040005 | -0.552345 | 0.625409 | 0.335788 | 1.093294 | -0.120430 | 1.010521 | -0.181093 | 0.542019 | 0.381288 | 0.053594 | 0.577707 | -0.217917 | -0.114165 | 0.740568 | 0.206661 | -0.700242 | -0.048645 | -0.427051 | 1.102205 | -0.420340 | -0.028902 | 0.764918 | -0.379963 | 1.517961 | 0.647225 | -0.480085 | -0.065843 | -0.138209 | 1.254747 | 2.196528 | -0.622547 | 1.977089 | 0.029638 | 1.301265 | -1.334408 |
| 241 | 0.316259 | 0.090524 | -0.215758 | -0.375146 | -0.045946 | -0.420327 | 0.074592 | -0.623567 | -0.106195 | -0.773235 | 1.787814 | -0.500441 | -0.617188 | -0.255841 | 0.062258 | -0.162119 | -0.036699 | -0.407302 | -0.012729 | 0.566631 | -0.166308 | -0.571931 | 0.725326 | -0.406307 | -0.349436 | 1.745043 | -0.943832 | -0.041669 | 1.417510 | -0.376184 | -0.322597 | -1.662178 | -0.142991 | -0.114165 | 0.463074 | 0.938679 | -0.531923 | 0.195644 | 0.031432 | -0.496350 | 1.750080 | -0.281164 | 0.052730 | 0.042208 | -0.412519 | 1.167184 | -0.096141 | -0.051702 | 0.184172 | 0.665555 | -0.281097 | -0.423963 | -0.753372 | -0.252631 | -0.805177 | 0.749396 |
| 242 | 0.478230 | -0.512060 | 0.461875 | -0.107393 | -0.203506 | -0.450131 | -0.084117 | -0.108520 | -0.106195 | -0.202523 | -0.845152 | -0.122592 | -0.939009 | 0.333688 | -0.130952 | -0.060672 | 0.572283 | 0.071517 | -0.379914 | 1.658452 | -0.070624 | -0.087842 | -1.506004 | -0.567631 | 0.678560 | -0.419697 | 0.066934 | -0.181093 | -0.552345 | -0.463231 | -0.989074 | -0.646978 | -0.174048 | -0.114165 | 1.807833 | -0.698026 | -0.147626 | -0.179095 | -0.244914 | -1.398554 | -0.420340 | -0.289528 | 0.536442 | -0.226446 | -0.235476 | -1.234623 | -0.187831 | -0.061270 | 0.568381 | -0.737006 | -0.396663 | -0.781193 | 0.222591 | -1.217424 | -0.813728 | 0.749396 |
| 243 | -0.604421 | -0.407671 | -0.246596 | -0.457515 | -0.203506 | -0.575973 | -0.084117 | -1.739376 | -0.106195 | 0.367740 | 0.066259 | 0.056089 | -0.719796 | -0.158618 | -0.130952 | -0.313321 | 2.422341 | -0.342637 | -0.079916 | -0.553185 | -0.166308 | 0.025439 | -0.547582 | 1.405909 | 0.711967 | -0.146015 | 0.510047 | -0.181093 | -0.321312 | -0.196267 | 0.105351 | 0.009678 | -0.217917 | -0.114165 | 0.014245 | -0.351472 | 1.964483 | -0.703525 | -0.427051 | -1.161915 | -0.420340 | 0.058396 | 0.130942 | -0.379963 | -0.581032 | -0.296475 | -0.480085 | -0.042517 | 0.625791 | -0.399625 | 0.855475 | -0.186783 | 0.691388 | -0.287880 | 1.301265 | -1.334408 |
| 244 | -0.476549 | -1.265903 | -0.246596 | 0.215604 | -0.203506 | -0.506429 | -0.084117 | -0.031075 | -0.106195 | -0.319516 | -0.541349 | -0.324462 | -0.218391 | -0.122334 | -0.130952 | 0.197945 | -0.655125 | 0.605041 | 2.239783 | 2.134374 | -0.166308 | 1.174391 | -0.801519 | 1.357512 | 1.025895 | -0.047164 | 0.439213 | -0.181093 | 0.396104 | 0.259720 | -0.434846 | 1.079040 | -0.217917 | -0.114165 | -0.911063 | -0.080309 | -0.355491 | 0.178823 | -0.427051 | 1.102205 | -0.420340 | 0.074736 | -0.453602 | -0.379963 | -0.453530 | 0.043997 | -0.480085 | -0.065843 | -0.239782 | -1.262465 | -0.396663 | 0.766530 | -1.884669 | -0.091774 | 1.301265 | -1.334408 |
| 245 | 0.034940 | 0.389056 | -0.246596 | -0.080527 | -0.203506 | 0.129403 | -0.084117 | -0.888233 | -0.005162 | 0.198541 | 1.889081 | 0.058516 | -0.079337 | -0.188970 | -0.130952 | -0.178125 | -0.486744 | 0.589135 | 2.039950 | 0.846585 | -0.166308 | -0.577754 | -0.134100 | 0.109933 | 0.820987 | -0.606157 | 0.497339 | 0.192923 | 1.222957 | 0.308432 | 0.536808 | -0.447340 | -0.217917 | -0.114165 | -0.595550 | 0.027912 | -1.389745 | -0.023224 | -0.427051 | -0.631896 | -0.420340 | -0.055066 | 0.257107 | -0.379963 | 0.403929 | 0.378918 | -0.480085 | -0.049360 | -0.058718 | -0.231157 | -0.396663 | 0.981960 | -0.619642 | 0.387999 | 1.301265 | -1.334408 |
| 246 | 0.358883 | -0.431169 | -0.246596 | -0.218356 | -0.203506 | -1.821145 | -0.084117 | -0.385969 | -0.106195 | 1.102192 | 0.673866 | -0.372097 | -0.384596 | 0.170024 | -0.130952 | -0.026267 | -0.658179 | -1.250474 | -0.865418 | 0.090709 | -0.082106 | -2.397656 | -0.396785 | 0.163708 | 0.669103 | 0.825244 | -0.213004 | -0.181093 | 0.931126 | -0.218717 | 0.575250 | 0.655592 | -0.217917 | -0.114165 | 0.485293 | -0.698026 | 0.121077 | -0.054598 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | -0.270270 | -0.379963 | -0.345855 | -2.200526 | -0.480085 | -0.055680 | -0.239782 | 0.629901 | -0.396663 | 1.118753 | -1.013007 | -0.802343 | 1.301265 | -1.334408 |
| 247 | -0.621471 | 1.465598 | 4.100041 | -0.327159 | 2.179308 | 0.132715 | 0.302546 | -0.619056 | 0.014484 | -0.921802 | -2.364171 | 0.392006 | -0.769537 | -0.321829 | 0.692807 | -0.437169 | 1.946439 | -1.046817 | -0.287654 | 2.470318 | 2.646800 | -1.212708 | 2.748534 | 0.314278 | 0.764034 | 1.969008 | -0.272312 | 0.329852 | 2.147086 | -0.382771 | 1.053453 | -1.704254 | -0.217917 | 3.703207 | -0.634557 | 1.338735 | -0.152696 | -0.430948 | -0.427051 | 1.102205 | 5.118344 | -0.274509 | -0.265145 | -0.379963 | -0.140390 | 0.969192 | -0.480085 | -0.061134 | -0.217701 | -1.004861 | -0.056849 | 0.096552 | 0.501597 | -1.018870 | 1.301265 | -1.334408 |
| 248 | -0.297528 | 0.192583 | -0.246596 | -0.157670 | -0.203506 | 0.318166 | -0.084117 | 0.553897 | -0.106195 | 0.255618 | 1.484010 | 0.263067 | 0.451417 | -0.039559 | -0.130952 | -0.327293 | -0.246337 | -0.494116 | 0.184141 | 0.510640 | -0.154826 | 0.150366 | -0.470687 | -0.449327 | 0.768386 | -0.876931 | 1.273653 | -0.181093 | 0.031316 | -0.345030 | 0.288185 | 0.025345 | 0.088969 | -0.114165 | 0.023380 | -0.698026 | 0.342123 | -0.013548 | 0.684614 | -0.888347 | -0.420340 | -0.304459 | -0.147506 | 0.498426 | -0.387764 | 0.399272 | 0.177094 | -0.054383 | -0.058718 | 1.145109 | -0.396663 | -0.461972 | 0.583921 | 1.788085 | -0.816342 | 0.749396 |
| 249 | -0.536223 | 1.475818 | -0.236692 | -0.380070 | -0.203506 | -0.877331 | -0.045512 | -0.462662 | -0.082929 | -0.225137 | -0.743885 | -0.407752 | 1.790808 | -0.151789 | -0.130952 | 0.086364 | -0.556757 | -0.299824 | 0.268743 | -0.721158 | -0.112725 | 0.423774 | 0.151263 | 0.389563 | 0.798573 | 0.628899 | -0.727918 | -0.181093 | 0.809530 | 0.111423 | 0.505309 | 0.556221 | -0.161431 | -0.114165 | -0.254608 | -0.146580 | -0.811780 | -0.400871 | -0.081619 | -0.509986 | -0.068699 | -0.005290 | 0.244293 | -0.054978 | -0.205000 | -0.153995 | -0.135098 | -0.045029 | -0.063134 | -0.425474 | -0.396663 | -0.668739 | 0.916195 | 0.339532 | -0.805164 | 0.749396 |
| 250 | -0.502123 | 0.035928 | -0.246596 | -0.364521 | 0.089351 | -0.314355 | -0.004456 | 0.501265 | -0.087365 | -0.637480 | 0.673866 | -0.204701 | -0.848710 | -0.014008 | -0.130952 | -0.361994 | -0.412198 | 0.137669 | -0.851585 | 0.118704 | -0.166308 | -1.361456 | -0.254046 | 1.131657 | 0.692108 | 1.942842 | 0.542099 | -0.181093 | 0.906807 | 1.228158 | 1.251105 | 0.677973 | -0.217917 | -0.114165 | -1.400381 | -0.173940 | -0.144584 | -0.099098 | -0.427051 | 1.102205 | -0.420340 | 7.859365 | -0.188657 | -0.379963 | 0.327505 | -1.358599 | -0.480085 | -0.065843 | 0.546300 | 3.984994 | 0.894018 | 0.461758 | 0.266919 | 3.007171 | 1.301265 | -1.334408 |
| 251 | -0.689669 | -0.815220 | -0.246596 | -0.296794 | -0.203506 | -0.383899 | 0.097265 | -0.197996 | -0.012133 | -0.340807 | -1.554028 | -0.521224 | -0.780775 | -0.165735 | 0.247607 | -0.325260 | -0.552508 | -0.035218 | 0.036674 | -0.665167 | -0.166308 | -0.033848 | 0.562558 | 0.529378 | 0.781754 | -0.668956 | -0.792774 | -0.181093 | 0.979765 | -0.367437 | 0.191041 | -0.760674 | -0.217917 | -0.114165 | -0.240536 | 0.266244 | -1.188978 | -0.454592 | -0.427051 | -0.563464 | 1.996745 | 0.000362 | -0.171704 | -0.379963 | -0.223552 | -0.141042 | -0.480085 | -0.040185 | -0.226533 | -0.360405 | 0.137271 | -0.129879 | -0.235962 | -0.824023 | 1.301265 | -1.334408 |
| 252 | 0.316259 | -0.216613 | -0.246596 | 1.635443 | 1.690072 | -0.238187 | -0.084117 | 0.471189 | -0.106195 | 0.204731 | -0.338813 | -0.665277 | -0.538860 | -0.170532 | -0.130952 | 0.082363 | -0.174335 | -0.585688 | -0.253196 | -0.133254 | -0.105070 | -0.684418 | -0.549999 | -0.535366 | -0.307448 | -1.746626 | -0.276476 | 0.238178 | -0.114599 | 4.227401 | -1.541155 | -1.195759 | 1.030398 | -0.114165 | -0.994756 | 1.577067 | 0.978900 | -0.155017 | 0.307778 | -1.274642 | -0.420340 | -0.009375 | -0.442070 | 1.139730 | 0.553602 | 0.019942 | 2.996120 | -0.065843 | -0.195620 | -0.912159 | 0.128855 | -0.394507 | -1.465601 | -0.083172 | -0.829889 | 0.749396 |
| 253 | 0.938570 | 1.353977 | -0.120320 | -0.149118 | -0.203506 | -0.724996 | -0.084117 | -0.782968 | -0.020009 | 0.052520 | 0.673866 | -0.127148 | -0.474248 | 0.397743 | 0.065096 | -0.389807 | -1.586338 | 0.196387 | -0.566655 | 0.538635 | 0.116916 | -1.068461 | -0.311487 | 0.432583 | 0.829188 | -1.350543 | -1.050346 | -0.114709 | -1.549432 | 0.346237 | -0.089437 | 1.118430 | -0.109022 | -0.114165 | -0.499760 | 0.375074 | -0.862478 | 0.735601 | -0.119302 | 0.347691 | -0.018057 | -0.252640 | -0.207336 | -0.103261 | 0.304731 | -0.722064 | -0.012205 | -0.056721 | 0.802439 | -0.365753 | -0.396663 | -0.586684 | 0.411451 | -0.408173 | -0.819774 | 0.749396 |
| 254 | -0.433925 | -1.505937 | -0.246596 | -0.384951 | -0.203506 | 0.179078 | 0.030473 | 1.051650 | -0.106195 | -0.562904 | -0.338813 | -0.117970 | -0.713346 | 0.067800 | -0.130952 | -0.378065 | -0.084724 | 0.425168 | 0.264667 | -0.049268 | 0.048024 | -0.436153 | 0.092095 | 0.432583 | -1.327523 | 0.305695 | -0.731424 | -0.181093 | 0.639296 | -0.382919 | -0.212424 | -0.190407 | -0.217723 | -0.114165 | 1.217788 | -0.099765 | 0.467856 | -0.532975 | -0.408210 | -1.147921 | -0.420340 | -0.293084 | -0.266968 | -0.376868 | -0.285626 | 0.203131 | -0.433762 | -0.055951 | -0.014556 | -0.687535 | -0.396663 | 1.187956 | 0.776133 | 0.139860 | -0.717193 | 0.749396 |
| 255 | 0.120188 | 0.364555 | 0.411867 | 0.627276 | -0.203506 | 0.814910 | 0.081333 | 1.248646 | -0.106195 | -0.177916 | 0.572598 | 0.060987 | 0.173000 | -0.171325 | 0.281324 | 3.356559 | -0.742370 | 0.526551 | -0.789338 | 1.238521 | 1.755026 | -0.388512 | -0.225038 | 1.669407 | 0.903949 | 0.354151 | 0.061615 | -0.068622 | -0.430749 | 0.181907 | -1.060590 | 1.348506 | -0.217723 | 0.762087 | 0.834630 | 0.593342 | -1.003421 | 1.230530 | -0.094180 | -1.484832 | 0.982532 | 0.003496 | 0.899904 | 0.003829 | -0.479250 | 0.190178 | -0.439920 | -0.055196 | -0.041053 | -0.506588 | -0.017764 | -0.606691 | -0.562649 | -0.002813 | 0.724563 | 0.749396 |
| 256 | -0.433925 | -0.039527 | -0.246596 | -0.357740 | -0.203506 | -0.522987 | -0.084117 | 0.683223 | -0.106195 | -0.089354 | -0.440081 | -0.169841 | 2.214927 | -0.211069 | -0.130952 | -0.187046 | 1.382428 | -0.300864 | 0.217364 | -0.889130 | -0.166308 | 0.226327 | -1.077673 | -0.062147 | -1.327523 | -0.869178 | 1.832051 | -0.181093 | 0.006997 | -0.212173 | 0.966617 | 1.390582 | -0.093493 | -0.114165 | -0.932789 | -0.198867 | 1.147219 | -0.250877 | 0.018871 | 1.102205 | -0.420340 | -0.304459 | -0.121337 | 0.027971 | 0.059121 | -0.747970 | 0.016136 | -0.065843 | -0.010140 | -1.241072 | 0.891468 | -0.651005 | 0.461367 | -0.571128 | -0.816439 | 0.749396 |
| 257 | -0.459499 | -0.632986 | -0.246596 | -0.249498 | -0.203506 | 0.142650 | -0.084117 | 0.573447 | -0.106195 | -0.105048 | -0.338813 | -0.399235 | 0.004090 | -0.263720 | -0.130952 | -0.300988 | -0.920906 | -0.650204 | 0.122388 | -0.777149 | -0.166308 | -0.185771 | 0.016697 | -1.481806 | 0.838993 | 0.718834 | -0.927135 | -0.181093 | -0.528026 | -0.623536 | -1.481022 | -0.331855 | -0.217917 | -0.114165 | 0.182865 | -0.698026 | -0.422413 | -0.238872 | -0.427051 | 1.102205 | 0.009418 | -0.304459 | -0.307528 | -0.379963 | -0.500253 | 0.835964 | -0.480085 | -0.055874 | -0.169123 | -0.148260 | -0.396663 | 2.363818 | 0.930723 | -1.012506 | 1.301265 | -1.334408 |
| 258 | -0.450975 | 1.392163 | 1.901513 | -0.436265 | -0.203506 | -1.185313 | 0.064175 | -0.238598 | -0.073423 | -0.663052 | 0.775134 | -0.712250 | -1.048208 | -0.234881 | 0.223391 | -0.327096 | -0.577526 | -0.226091 | -0.165877 | -0.665167 | -0.166308 | -0.633997 | -0.404613 | 2.325461 | 0.968494 | -1.076377 | -0.684810 | -0.181093 | 0.785211 | 0.412803 | 1.151313 | -1.091016 | -0.217917 | -0.114165 | -0.146968 | 0.086279 | -1.061217 | -0.837864 | -0.427051 | 1.102205 | 0.514292 | 1.985502 | 0.484843 | -0.379963 | -0.178398 | 0.078229 | -0.480085 | -0.051954 | -0.239782 | -0.479847 | 1.173897 | -0.705485 | -0.371182 | 1.477211 | 1.301265 | -1.334408 |
| 259 | -0.007684 | -0.528629 | -0.246596 | -0.367674 | -0.203506 | 0.218817 | -0.084117 | -0.397999 | -0.106195 | -0.763479 | -0.541349 | -0.278526 | -0.623864 | 0.403148 | -0.029620 | -0.390791 | 0.129671 | 0.876783 | -0.084362 | -0.441204 | -0.166308 | 1.348283 | 0.385400 | 0.991842 | -1.327523 | 0.480526 | 0.496896 | -0.181093 | 2.560513 | -0.140990 | 0.014078 | 0.407611 | -0.126492 | -0.114165 | 0.576886 | 0.279012 | 1.713017 | -0.091463 | -0.043935 | -1.173295 | -0.420340 | -0.299282 | 0.010446 | 0.072540 | -0.370646 | 1.983206 | 0.066290 | -0.051978 | -0.239782 | -0.088539 | -0.396663 | -0.781193 | 0.699397 | 0.659008 | -0.813714 | 0.749396 |
| 260 | 0.034940 | -0.083015 | -0.246596 | -0.358085 | -0.203506 | -0.562727 | -0.064508 | -0.673192 | -0.106195 | -0.532242 | 1.484010 | 0.004284 | -0.438252 | -0.008779 | -0.130952 | -0.041485 | 0.240892 | -0.459331 | -0.062749 | 0.034718 | 0.101607 | 0.259941 | 0.193279 | -1.739925 | 0.445723 | 0.451840 | -0.117748 | -0.181093 | -0.625302 | -0.986462 | -0.832871 | 0.809573 | -0.059524 | -0.114165 | 0.281123 | -0.698026 | -1.069329 | -0.027170 | -0.043935 | -0.147908 | -0.159283 | -0.157612 | 4.545558 | -0.085310 | -0.396783 | -0.165097 | 0.001476 | -0.056305 | -0.071966 | -1.174220 | -0.396663 | -0.716728 | -0.573452 | -1.166369 | -0.821632 | 0.749396 |
| 261 | 0.213961 | -0.466515 | -0.006050 | 1.526424 | -0.203506 | 0.914259 | -0.024065 | -1.047634 | -0.106195 | -0.109231 | -0.237545 | -0.426440 | -0.079748 | 0.413800 | -0.130952 | -0.437169 | -0.400186 | -0.044583 | 0.210201 | 0.118704 | -0.166308 | 0.015911 | 0.122600 | -0.201962 | -1.327523 | -0.298556 | -0.471744 | -0.181093 | 0.858169 | -0.041744 | 0.043930 | -0.381093 | 0.014238 | -0.114165 | 0.491219 | -0.225011 | 0.167720 | -0.011531 | 0.194728 | -0.744779 | 0.111625 | -0.064433 | -0.191713 | 0.088635 | -0.373253 | -0.104034 | 0.076572 | -0.052477 | 0.078184 | 1.556028 | -0.396663 | -0.587182 | 0.920293 | -0.437407 | -0.820518 | 0.749396 |
| 262 | -0.144081 | -1.594110 | -0.246596 | -0.383742 | -0.203506 | 0.304919 | -0.084117 | -1.022070 | -0.106195 | 0.232244 | -0.743885 | -0.161060 | 0.364859 | -0.007181 | -0.130952 | -0.437169 | -0.216916 | -0.970408 | 0.125969 | -0.441204 | -0.166308 | -0.106104 | -0.656708 | 1.292982 | -1.327523 | 0.721160 | 1.076169 | -0.181093 | 1.271595 | 0.368581 | -0.287305 | -0.869893 | -0.189577 | -0.114165 | -0.079323 | -0.103413 | 0.114993 | -0.378637 | -0.420771 | -1.370101 | -0.420340 | -0.304459 | -0.285893 | -0.150307 | -0.550724 | 0.360414 | 4.791151 | -0.059503 | 0.510970 | -1.107368 | -0.392359 | -0.655797 | -0.525771 | 1.187109 | -0.830611 | 0.749396 |
| 263 | -0.161131 | -1.050255 | 0.028839 | 0.030522 | -0.203506 | -0.152085 | -0.084117 | 0.399759 | -0.106195 | 0.593492 | 0.977670 | -0.189996 | 0.709049 | -0.171664 | -0.130952 | -0.170482 | -1.722010 | 0.059179 | 0.510939 | 0.818590 | -0.105070 | 0.121516 | 0.120182 | 0.765987 | -1.327523 | -0.316291 | -0.636517 | -0.181093 | 1.368872 | -0.583740 | 0.019447 | -0.043588 | 0.785821 | 2.499376 | 2.114953 | -0.272434 | 0.717294 | 0.306185 | 0.559002 | 1.102205 | -0.420340 | -0.188478 | -0.133806 | 1.294485 | 0.205217 | 0.806358 | 2.076007 | -0.059561 | 0.003109 | 0.457422 | 1.101831 | -0.621110 | 0.322050 | -0.529165 | -0.828131 | 0.749396 |
| 264 | 0.631677 | -0.789028 | -0.246596 | -0.337396 | -0.203506 | -0.201759 | -0.084117 | -1.739376 | -0.106195 | -0.103123 | -0.035009 | 0.576523 | -0.789196 | -0.222943 | 0.351111 | -0.376622 | -0.816430 | -0.677706 | -0.472049 | -0.693162 | -0.166308 | -1.065285 | 0.393919 | -0.288002 | -1.327523 | -0.283631 | 0.870854 | -0.181093 | -0.017322 | -0.300787 | 0.593934 | -0.544921 | -0.217723 | -0.114165 | 1.016087 | -0.698026 | 0.033875 | 0.041154 | -0.307720 | -1.420274 | -0.194917 | -0.185221 | -0.161059 | -0.164544 | 0.001216 | 0.230887 | -0.405556 | -0.055845 | 0.003109 | -0.585028 | -0.396663 | -0.524037 | 0.478502 | -0.261933 | -0.255831 | 0.749396 |
| 265 | -0.101457 | -0.480468 | 0.140559 | 0.215949 | -0.000276 | 0.934128 | -0.084117 | 1.126840 | -0.106195 | 0.117478 | -0.237545 | -0.254565 | 0.046423 | 0.398045 | -0.130952 | 0.118901 | 0.069149 | 0.986341 | -0.272586 | -0.217240 | 0.101607 | 0.462946 | 0.182919 | 0.206728 | 0.684859 | 2.670075 | -0.574213 | -0.181093 | 0.104274 | 0.798814 | 7.779647 | 0.000278 | -0.217917 | -0.114165 | 1.168906 | 0.085063 | -0.414302 | 0.440752 | -0.427051 | 1.102205 | -0.273034 | -0.304459 | 0.050168 | -0.379963 | -0.431827 | 0.634272 | -0.480085 | -0.065843 | -0.239782 | -0.107257 | 0.009590 | -0.430345 | -0.531359 | 1.848091 | 1.301265 | -1.334408 |
| 266 | -0.621471 | -0.498351 | -0.246596 | -0.400242 | -0.203506 | 0.553291 | 0.041502 | -0.569431 | -0.096327 | -0.269511 | 1.078938 | -0.340392 | -0.963119 | -0.272048 | -0.130952 | 0.300802 | -1.028505 | -0.413991 | -0.510089 | -0.805144 | -0.166308 | 0.099019 | -0.407951 | 0.131443 | -1.327523 | -0.395953 | 0.523628 | -0.181093 | -0.138918 | -0.270649 | 0.873912 | -0.872578 | -0.217917 | -0.114165 | -0.965130 | -0.256626 | 0.733518 | -0.563043 | -0.427051 | 1.102205 | 0.467114 | -0.053165 | -0.351537 | -0.379963 | -0.023626 | -0.725765 | -0.480085 | -0.051146 | -0.014556 | -0.816783 | 0.378973 | 0.005370 | -0.777212 | -0.084780 | 1.301265 | -1.334408 |
| 267 | -0.689669 | -0.127728 | -0.246596 | -0.489003 | -0.203506 | -0.201759 | 0.039664 | -0.548378 | -0.106195 | -0.434442 | -2.566707 | -0.581083 | -0.581812 | -0.191442 | -0.130952 | -0.437169 | 1.664777 | -0.342488 | -0.287901 | 0.398658 | -0.166308 | 1.146336 | -0.075163 | -0.417062 | -1.327523 | 0.022032 | -0.006251 | -0.181093 | 1.563425 | -0.488624 | 0.663374 | -0.872578 | -0.217917 | -0.114165 | 0.886474 | -0.698026 | -0.688075 | -0.524698 | -0.427051 | -1.025767 | 0.195822 | -0.304459 | -0.349862 | -0.379963 | -0.283402 | 1.091318 | -0.480085 | -0.055845 | -0.239782 | -0.644750 | -0.396663 | -0.534608 | -0.147306 | -0.099957 | 1.301265 | -1.334408 |
| 268 | -0.331627 | -0.280245 | -0.246596 | 0.062873 | -0.203506 | 0.202259 | -0.072474 | -0.415293 | -0.106195 | 0.186854 | -0.237545 | -0.152863 | -0.761509 | 0.147713 | -0.130952 | -0.306958 | -0.727174 | -0.483264 | -0.174769 | -0.469199 | -0.030437 | 0.088696 | 0.004495 | 0.454093 | 0.968643 | -0.493835 | 0.052285 | -0.181093 | 0.006997 | -0.428518 | -0.292316 | 0.996678 | 1.945622 | -0.114165 | -0.435078 | 0.409121 | -0.254094 | -0.394094 | 2.556231 | 1.102205 | -0.420340 | -0.123665 | -0.234934 | 2.718229 | 6.893464 | 0.915531 | 1.803257 | -0.057974 | 0.312242 | -0.705808 | -0.167204 | -0.687277 | -0.583509 | -0.327535 | -0.826378 | 0.749396 |
| 269 | -0.544747 | -0.933298 | -0.246596 | -0.444817 | -0.203506 | -0.572662 | 0.009025 | 0.199004 | -0.106195 | -0.445798 | -2.870511 | -0.341694 | -0.010359 | -0.219814 | -0.130952 | -0.186783 | -0.013030 | -0.311122 | 0.823163 | -0.637172 | -0.166308 | 0.497089 | 0.111319 | 0.292768 | 0.699768 | -0.577858 | 0.391363 | -0.181093 | 0.371785 | -0.001419 | 0.714774 | 0.095174 | -0.217917 | -0.114165 | -1.156463 | -0.391599 | -0.491364 | -0.492774 | -0.427051 | -0.890105 | 0.579711 | -0.304459 | -0.402693 | -0.379963 | 0.393311 | -0.344585 | -0.480085 | -0.054190 | -0.239782 | -0.507480 | -0.396663 | -0.623147 | 0.306777 | 0.312746 | 1.301265 | -1.334408 |
| 270 | -0.340152 | -0.879564 | -0.246596 | 0.102568 | -0.055080 | 1.040100 | -0.084117 | -1.056657 | -0.106195 | -0.185315 | -0.338813 | -0.293728 | -0.525425 | -0.063212 | -0.130952 | -0.319290 | -0.133743 | 0.716829 | -0.306427 | -0.497194 | -0.032350 | -0.399364 | -0.569453 | 2.024321 | 0.930032 | 0.562611 | -0.571567 | -0.181093 | 0.201550 | 0.494554 | 1.556639 | 0.511459 | -0.217917 | -0.114165 | 0.713658 | -0.327153 | -0.189199 | 0.004178 | -0.427051 | 1.102205 | -0.420340 | 0.030647 | 0.020795 | -0.379963 | 2.157819 | 0.436280 | -0.480085 | -0.065843 | -0.239782 | -0.078734 | -0.396663 | 0.962311 | -0.598410 | 0.429472 | 1.301265 | -1.334408 |
| 271 | -0.229329 | 1.640664 | -0.246596 | -0.346510 | -0.203506 | 0.473812 | -0.084117 | 0.039603 | -0.106195 | -0.414208 | 0.370063 | -0.298846 | 2.169214 | -0.012176 | -0.130952 | 0.212377 | -0.234348 | -1.250474 | -0.407085 | -0.021273 | -0.166308 | -0.079107 | -0.386771 | 0.981087 | 0.761329 | 0.150150 | -0.375762 | -0.181093 | -0.187557 | 0.235258 | 0.134273 | 0.689611 | -0.168225 | -0.114165 | -1.400381 | -0.698026 | -0.189199 | -0.009731 | -0.244914 | 1.102205 | -0.420340 | -0.304459 | -0.438719 | -0.189924 | -0.499950 | -2.200526 | -0.103253 | -0.042822 | -0.085215 | -0.774889 | -0.396663 | -0.446793 | -0.589842 | 0.021735 | -0.815897 | 0.749396 |
| 272 | 0.273635 | 0.492053 | 0.646711 | 1.404792 | -0.169254 | 1.016919 | -0.084117 | -0.504768 | -0.106195 | -0.211656 | 0.876402 | -0.443958 | -0.533114 | 0.292829 | -0.130952 | -0.435988 | -1.009830 | -0.200968 | -0.473655 | -0.301227 | -0.166308 | -1.140188 | -0.148719 | -0.868771 | 0.855327 | -1.372833 | -0.470978 | 0.156819 | 0.371785 | 0.549578 | -1.040975 | -0.713226 | -0.217723 | -0.114165 | 1.754013 | -0.698026 | -1.389745 | -0.425432 | -0.420771 | 1.102205 | -0.420340 | -0.211931 | -0.417823 | -0.268540 | 0.676102 | -0.907103 | 0.030616 | -0.065843 | 0.515387 | 0.186893 | -0.396663 | -0.252123 | 0.275487 | -0.078346 | -0.774863 | 0.749396 |
| 273 | 0.077564 | 0.515250 | -0.246596 | 0.032768 | 0.468979 | 1.397756 | 0.051920 | 0.331337 | -0.106195 | 0.231906 | 0.471331 | 0.577516 | 0.113824 | -0.005497 | -0.130952 | -0.149262 | -0.418766 | -0.445506 | 0.475616 | 0.958567 | -0.013214 | 0.036820 | 1.456747 | 0.862782 | -1.327523 | 0.267802 | 1.515897 | -0.181093 | 0.760892 | 0.327959 | 0.228625 | 2.030677 | -0.217917 | -0.114165 | 1.011149 | 0.065608 | 0.153524 | 0.375159 | -0.427051 | 1.102205 | 0.188433 | -0.304459 | -0.330839 | -0.379963 | -0.249313 | 0.223485 | -0.480085 | -0.041840 | -0.239782 | 0.188675 | -0.396663 | 0.095449 | 0.743353 | 1.468609 | 1.301265 | -1.334408 |
| 274 | -0.416875 | -0.831418 | 0.515559 | -0.417368 | -0.203506 | -0.132215 | -0.084117 | 0.996010 | -0.106195 | 0.317686 | 0.572598 | 0.248571 | -0.824713 | -0.166710 | -0.130952 | -0.239786 | -0.037717 | -0.315581 | 0.394596 | -0.189245 | -0.047660 | 1.197153 | 0.110858 | -0.304134 | -1.327523 | 0.662722 | 2.476114 | -0.181093 | -0.929292 | -0.505462 | -0.236048 | -0.020760 | -0.111933 | -0.114165 | -0.634063 | -0.698026 | 1.992874 | -0.189481 | -0.081619 | 1.102205 | -0.420340 | -0.304459 | -0.278993 | 0.005686 | -0.342032 | -0.524073 | 0.081270 | -0.055235 | -0.230949 | 1.088953 | -0.396663 | -0.612714 | 0.690830 | -1.061112 | -0.817853 | 0.749396 |
| 275 | 1.245463 | 0.797442 | -0.246596 | -0.275716 | -0.203506 | 0.457254 | -0.084117 | 0.941874 | -0.106195 | -0.380047 | 0.775134 | -0.287197 | 0.801855 | -0.138586 | -0.130952 | -0.222665 | -0.428589 | 0.092477 | 0.723741 | -0.049268 | -0.166308 | 1.175450 | 0.474958 | 0.733722 | 0.598303 | 0.344848 | -0.614876 | -0.181093 | 0.493381 | -0.525561 | 0.266781 | -0.258445 | -0.217723 | -0.114165 | -0.488651 | -0.056598 | -0.059410 | 0.041023 | -0.370526 | 1.102205 | -0.162516 | -0.192757 | -0.301762 | -0.379963 | -0.564469 | 0.312304 | -0.473894 | -0.060244 | -0.239782 | -0.667925 | -0.396663 | 0.229856 | 1.505870 | -0.551056 | -0.544182 | 0.749396 |
| 276 | -0.416875 | -0.309428 | -0.246596 | -0.407455 | -0.203506 | -0.519676 | -0.084117 | -0.928835 | -0.106195 | -0.402260 | -1.351492 | -0.270539 | 1.181472 | -0.321829 | -0.130952 | -0.056704 | 0.594247 | -0.367165 | 0.979029 | -1.924960 | -0.166308 | 0.360252 | -0.322423 | 0.292768 | -0.018727 | 1.147770 | -0.956607 | -0.181093 | 0.785211 | -0.472062 | 0.729377 | 0.299288 | -0.174048 | -0.114165 | -0.671342 | -0.698026 | 0.435409 | 0.367824 | -0.169547 | 1.102205 | -0.420340 | -0.304459 | -0.373222 | -0.249350 | -0.520360 | -0.392695 | -0.303519 | -0.065843 | -0.239782 | -0.110823 | 0.180087 | -0.444652 | -0.520184 | -0.371875 | -0.806205 | 0.749396 |
| 277 | -0.169656 | -0.556447 | -0.246596 | -0.231314 | 0.321124 | 0.450631 | 0.119325 | -0.602514 | 0.025981 | -0.383035 | 1.382742 | -0.224691 | -0.605049 | -0.145411 | 0.435608 | -0.054867 | -0.775838 | -1.250474 | 1.022997 | -0.077263 | -0.166308 | 0.199860 | 1.415768 | -0.105167 | 0.728506 | 0.046260 | 0.559872 | -0.181093 | 0.128593 | -0.031875 | 0.673468 | 0.260792 | -0.217917 | -0.114165 | -1.400381 | 1.251185 | -0.813808 | -0.247871 | -0.427051 | -0.270305 | 2.988330 | -0.304459 | -0.258836 | -0.379963 | -0.220797 | -2.200526 | -0.480085 | -0.051296 | -0.239782 | -0.943357 | -0.396663 | 0.094420 | 1.331538 | 0.341980 | 1.301265 | -1.334408 |
| 278 | -0.561797 | -0.486427 | -0.246596 | -0.345689 | -0.203506 | -0.244811 | -0.084117 | -1.739376 | -0.106195 | -0.192479 | -0.237545 | 0.180351 | 1.868911 | -0.047704 | -0.130952 | 1.397066 | -0.167211 | -0.523699 | 1.243456 | -0.581181 | -0.166308 | 0.005059 | -1.087342 | -0.363287 | 0.644077 | 1.432306 | 3.722018 | -0.181093 | 0.225869 | -0.508639 | -0.009117 | -0.583417 | 0.035590 | -0.114165 | -0.829840 | -0.284594 | -0.028991 | -0.045453 | 0.069116 | -1.293957 | -0.217082 | -0.190098 | -0.295651 | -0.129260 | -0.187594 | -0.574033 | -0.074596 | -0.056193 | -0.239782 | 0.210960 | -0.200869 | -0.214299 | -0.715749 | -0.280676 | -0.823728 | 0.749396 |
| 279 | -0.450975 | 0.067449 | -0.246596 | -0.132834 | -0.203506 | -0.807787 | -0.084117 | -1.739376 | -0.106195 | 0.030756 | 0.572598 | 0.242239 | 0.584951 | -0.197541 | -0.130952 | -0.065166 | -0.028628 | -0.178521 | -0.084362 | 0.258681 | -0.020868 | -0.640217 | -0.023362 | 0.507868 | 1.934562 | 0.154996 | 1.086446 | 0.671757 | -0.211876 | 0.105154 | -0.660203 | 0.293916 | -0.217917 | -0.114165 | 0.147067 | 0.384194 | 0.595617 | 0.055399 | -0.427051 | 1.102205 | -0.420340 | 4.765445 | -0.439409 | -0.379963 | -0.236712 | 0.623169 | -0.480085 | -0.065843 | -0.239782 | -0.241853 | 0.287619 | -0.518257 | 0.251274 | 0.444229 | 1.301265 | -1.334408 |
| 280 | -0.374251 | -0.848106 | -0.246596 | -0.462483 | -0.203506 | -0.413704 | -0.058380 | 1.196014 | -0.106195 | -0.419107 | -1.047688 | -0.474648 | -0.936841 | -0.321829 | -0.130952 | -0.288525 | -0.406600 | -0.413099 | 0.078666 | -0.609176 | -0.166308 | -1.196299 | -0.163799 | 0.733722 | -1.327523 | -0.296811 | -1.048868 | -0.181093 | 0.590657 | -0.449189 | -1.578595 | -0.075817 | -0.217917 | -0.114165 | 5.093074 | -0.049910 | -0.836115 | -0.245075 | -0.427051 | 1.102205 | -0.420340 | -0.057954 | -0.270122 | -0.379963 | 0.163487 | -0.622143 | -0.480085 | -0.065843 | -0.239782 | -0.655446 | -0.396663 | -0.362295 | -0.418117 | -1.029081 | 1.301265 | -1.334408 |
| 281 | -0.399826 | -0.715124 | -0.246596 | -0.416655 | 0.376498 | -0.218318 | 0.020055 | -1.739376 | -0.060567 | 0.097191 | -0.237545 | 0.233722 | -0.502047 | -0.108185 | -0.130952 | -0.278817 | -0.014048 | -0.637420 | 0.317281 | 0.454649 | -0.166308 | 0.157247 | 0.341313 | -0.954811 | 0.642094 | 0.279626 | 0.682773 | -0.181093 | 0.031316 | 0.118836 | 0.325912 | -0.816178 | -0.217917 | -0.114165 | 3.923106 | -0.265138 | 0.378627 | -0.432616 | -0.427051 | -1.071577 | 0.919731 | -0.078696 | -0.064809 | -0.379963 | -0.060025 | -0.298325 | -0.480085 | -0.052602 | -0.239782 | -0.477173 | -0.044384 | -0.485893 | -0.896413 | -0.427476 | 1.301265 | -1.334408 |
| 282 | 1.935973 | 1.415996 | -0.246596 | -0.081218 | -0.203506 | 0.020119 | -0.084117 | -0.513791 | -0.106195 | -0.501460 | 0.572598 | 2.055704 | -0.597782 | -0.183751 | -0.130952 | -0.437169 | -1.005428 | 1.065277 | -0.175263 | -0.385213 | -0.166308 | -1.073490 | -0.128574 | -0.244982 | 0.639408 | -1.111266 | -1.065028 | 0.066809 | 0.858169 | 4.678707 | -1.197966 | -0.367664 | -0.217917 | -0.114165 | 1.207172 | -0.312561 | -0.704298 | 1.055557 | -0.427051 | 1.102205 | 0.109162 | -0.284527 | 0.205951 | -0.379963 | 1.006565 | -0.405648 | -0.480085 | -0.065843 | 0.109097 | 0.678034 | -0.396663 | -0.508405 | -0.334304 | -0.132758 | 1.301265 | -1.334408 |
| 283 | -0.459499 | 0.961046 | -0.246596 | -0.434062 | -0.203506 | 0.993738 | -0.084117 | -0.001000 | -0.106195 | -0.460134 | 0.471331 | 0.608912 | -0.518637 | -0.073020 | 0.061284 | 0.202078 | 0.099232 | -0.020501 | -0.225160 | -0.077263 | -0.166308 | -0.682830 | -0.478860 | 1.217697 | 0.937586 | -0.533278 | -0.306164 | -0.181093 | 0.201550 | 0.086813 | 0.538526 | 0.621573 | -0.217917 | -0.114165 | 1.586875 | -0.698026 | -0.832059 | -0.105941 | -0.427051 | 1.102205 | -0.175600 | 1.084280 | 0.647723 | -0.379963 | 0.011164 | -0.178050 | -0.480085 | -0.051741 | -0.186787 | -0.628705 | 1.517553 | -0.140445 | -0.717611 | 0.052088 | 1.301265 | -1.334408 |
| 284 | -0.527698 | -0.252290 | -0.246596 | -0.383224 | -0.203506 | -0.407080 | -0.084117 | -1.449145 | -0.106195 | -0.346030 | 0.572598 | -0.276077 | -0.562209 | -0.155493 | -0.130952 | -0.437169 | -0.060700 | -0.421275 | -0.865418 | -0.161250 | -0.166308 | -0.475854 | 0.399099 | 0.163708 | 2.557878 | 0.027265 | -0.474860 | -0.181093 | -0.211876 | -0.512980 | 0.972201 | -0.742769 | -0.093493 | -0.114165 | -0.736519 | 0.472960 | -0.462972 | -0.024845 | -0.094180 | -0.801838 | -0.420340 | 0.148829 | -0.265391 | -0.082215 | -0.310195 | 0.005139 | 0.015413 | -0.054064 | -0.239782 | -0.267703 | -0.396663 | -0.668705 | -0.205417 | -0.055267 | -0.820463 | 0.749396 |
| 285 | 0.239535 | -1.315615 | -0.035161 | 0.793439 | -0.203506 | 1.487170 | -0.084117 | -0.246117 | 0.038067 | -0.151411 | -0.845152 | -0.341120 | 2.648425 | 0.086004 | 0.023115 | -0.268911 | 0.704143 | 7.408249 | -0.011123 | 0.622622 | -0.166308 | 0.955241 | -0.342337 | -0.051392 | -0.355013 | -0.519032 | -0.682983 | -0.181093 | -0.138918 | 0.033971 | -0.080704 | 2.536486 | -0.217723 | -0.114165 | -0.433843 | -0.698026 | 1.660290 | -0.225163 | -0.244914 | -1.503822 | -0.420340 | -0.298525 | -0.366322 | -0.194257 | -0.461602 | 0.802657 | -0.443317 | -0.060950 | 0.466809 | -0.136672 | -0.396663 | -0.520535 | 0.665127 | 0.477380 | 0.032520 | 0.749396 |
| 286 | -0.442450 | -0.941854 | -0.159486 | -0.206996 | -0.203506 | 0.159208 | -0.084117 | 1.335866 | -0.069711 | 0.981177 | -0.136277 | -0.079690 | -0.264610 | -0.133072 | -0.130952 | -0.219910 | 0.585975 | -0.616757 | 0.365448 | 0.118704 | -0.154826 | -0.007645 | -0.167482 | 0.561643 | 0.702778 | -0.312511 | 0.725451 | -0.181093 | 2.341640 | -0.361761 | -0.692632 | 0.721840 | -0.217917 | -0.114165 | 0.609721 | -0.698026 | 0.772049 | -0.300222 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | -0.185454 | -0.379963 | -0.406203 | 2.706709 | -0.480085 | -0.065843 | 0.020774 | 0.303661 | -0.396663 | -0.637150 | 2.148069 | -0.141780 | 1.301265 | -1.334408 |
| 287 | 0.009365 | -1.594110 | -0.246596 | -0.030726 | -0.203506 | -1.380698 | -0.076763 | -1.739376 | -0.068081 | -0.949642 | -0.338813 | -0.628365 | 1.347227 | -0.113894 | -0.130952 | 12.571715 | -0.098925 | 1.600882 | 0.751036 | -0.273231 | -0.166308 | 0.286408 | -0.676968 | 0.454093 | 0.756088 | -1.637308 | -0.514717 | -0.181093 | -1.184644 | 0.898906 | 0.091177 | 0.176640 | -0.217917 | -0.114165 | -1.292741 | -0.698026 | 0.380655 | -0.340579 | -0.427051 | 0.164137 | 0.148259 | 1.160697 | -0.503674 | -0.379963 | -0.417380 | -1.878558 | -0.480085 | -0.057722 | -0.239782 | -0.741908 | 0.087888 | 0.894414 | -1.502479 | 1.973839 | 1.301265 | -1.334408 |
| 288 | 0.120188 | 0.713588 | -0.045440 | -0.458422 | -0.203506 | 0.136026 | 0.011476 | -0.426571 | 0.061651 | -0.799669 | -1.148956 | -0.545097 | 2.648425 | -0.243332 | 0.216107 | -0.323160 | -1.679666 | -0.549862 | 0.082618 | -0.721158 | -0.135689 | -0.676213 | -0.066874 | -1.707660 | -1.327523 | 0.018930 | -0.472388 | 0.630163 | -1.962858 | -0.787335 | -1.513164 | -0.228902 | -0.217917 | -0.114165 | 0.789204 | 1.316848 | -1.245761 | -0.390274 | -0.427051 | 1.102205 | 1.351337 | -0.169550 | 0.418508 | -0.379963 | -0.170111 | -0.095707 | -0.480085 | -0.065843 | -0.173539 | -0.518176 | -0.396663 | -0.717826 | -0.780564 | -1.146157 | 1.301265 | -1.334408 |
| 289 | -0.391301 | -0.414016 | -0.246596 | -0.118062 | -0.203506 | 0.437384 | -0.084117 | -0.785976 | -0.061020 | -0.155196 | -0.237545 | -0.281659 | -0.902648 | 0.385721 | -0.130952 | -0.101441 | 0.230430 | 1.146443 | -0.012482 | -0.581181 | -0.131862 | 0.349665 | -0.273731 | 1.422042 | 0.751878 | 1.185760 | 0.824670 | -0.181093 | 0.371785 | -0.200567 | -0.054073 | 0.286754 | -0.217723 | -0.114165 | 0.043624 | -0.108277 | 0.666595 | -0.350583 | -0.282598 | -1.316602 | -0.420340 | -0.298877 | -0.227542 | -0.189924 | -0.313322 | 2.162694 | -0.428603 | -0.063999 | -0.204452 | 0.058536 | -0.396663 | -0.687866 | -0.343244 | -0.770381 | -0.140490 | 0.749396 |
| 290 | -0.092932 | -0.250816 | -0.246596 | -0.119876 | -0.203506 | -0.791229 | -0.084117 | 0.565928 | -0.058576 | -0.220821 | 0.977670 | 0.000379 | 2.648425 | -0.099157 | -0.130952 | 0.056452 | 0.751150 | -1.250474 | 0.846630 | -0.245236 | -0.166308 | 0.054024 | -0.020830 | -0.944056 | 0.660647 | 0.470253 | 0.661831 | -0.181093 | -0.917133 | -0.425595 | -0.272558 | -0.178769 | 0.142349 | -0.114165 | -0.231154 | -0.623851 | 0.334012 | -0.173331 | 0.056555 | -0.790874 | -0.420340 | -0.304459 | -0.202407 | -0.073548 | -0.653942 | -2.200526 | 0.121262 | -0.046878 | -0.239782 | -0.416561 | -0.396663 | -0.210558 | -0.684458 | 1.821445 | -0.826487 | 0.749396 |
| 291 | 1.232676 | 0.447686 | 3.727518 | 0.454634 | -0.203506 | -0.898857 | 0.071529 | -1.739376 | 0.050334 | -0.057405 | 0.167527 | -0.342940 | 1.154616 | -0.176669 | 0.431203 | 1.434850 | -0.790726 | 2.049598 | 0.188834 | 3.254190 | -0.166308 | 4.935814 | -0.057435 | -1.196798 | 1.311744 | -1.054281 | 1.185611 | -0.181093 | -1.148165 | 0.295174 | -0.216576 | 1.322544 | -0.032349 | -0.114165 | -0.624805 | 0.179910 | -0.179059 | -0.550905 | -0.119302 | -0.180465 | 0.807828 | 0.138018 | -0.344194 | -0.139783 | -0.604883 | -0.595313 | 0.059887 | -0.040282 | -0.164706 | -0.843078 | -0.396663 | -0.663269 | 0.173234 | -0.310680 | -0.825024 | 0.749396 |
| 292 | -0.587372 | -0.712942 | -0.246596 | -0.385297 | -0.203506 | -0.373964 | -0.084117 | -0.996506 | -0.106195 | -0.631022 | -2.060368 | -0.334038 | -0.370035 | -0.054508 | -0.130952 | -0.344676 | 1.165359 | -0.093639 | -0.582588 | -1.001112 | -0.166308 | 2.317256 | -0.304466 | 0.583153 | -1.327523 | 0.782021 | -0.513992 | -0.181093 | -0.868494 | -0.547164 | -0.041617 | -0.342598 | -0.217917 | -0.114165 | 1.071388 | -0.497389 | -0.692131 | -0.126354 | -0.427051 | 0.456857 | -0.420340 | -0.304459 | -0.450498 | -0.379963 | 0.972089 | -0.179900 | -0.480085 | -0.065843 | -0.217701 | -0.052884 | -0.396663 | 2.163219 | -0.273958 | -0.911096 | 1.301265 | -1.334408 |
| 293 | -0.450975 | 0.856515 | -0.246596 | -0.354716 | -0.203506 | -0.281239 | 0.235753 | -0.010022 | -0.009870 | 0.133590 | -0.743885 | -0.063517 | 0.108726 | -0.167860 | -0.130952 | -0.099276 | -0.539324 | -0.119059 | -0.799218 | -0.469199 | -0.166308 | -0.842164 | 0.100498 | 1.045617 | 0.726057 | -0.471254 | 0.155863 | 0.157651 | 1.198637 | 0.214693 | 0.627437 | 0.170373 | -0.217917 | -0.114165 | -0.484947 | -0.633579 | -0.637376 | -0.417327 | -0.427051 | -0.526455 | -0.151741 | -0.304459 | -0.379284 | -0.379963 | 0.064198 | -0.346435 | -0.480085 | -0.062097 | -0.239782 | -0.707145 | -0.396663 | 1.242062 | 1.288327 | -0.001834 | 1.301265 | -1.334408 |
| 294 | 1.168740 | -0.389457 | -0.246596 | 0.333909 | -0.203506 | 1.119579 | -0.084117 | 0.887738 | -0.106195 | 0.419835 | 2.192885 | 0.167091 | 2.648425 | -0.001031 | -0.130952 | -0.254742 | 0.268987 | -0.191008 | 0.324074 | 0.258681 | 0.266183 | 0.020675 | 0.592832 | -1.083871 | 0.799984 | 0.343103 | -0.397806 | -0.181093 | -0.625302 | -0.266858 | 4.840704 | 1.080830 | -0.217723 | -0.114165 | 0.141636 | 0.153158 | 0.636176 | -0.077722 | -0.420771 | 1.102205 | -0.420340 | -0.134230 | 11.294164 | -0.303824 | -0.215470 | 0.575059 | -0.100098 | -0.049467 | 0.731780 | 0.507784 | -0.331755 | -0.392357 | 2.114171 | -0.252981 | -0.774863 | 0.749396 |
| 295 | 2.132044 | -0.820638 | -0.171866 | -0.222071 | 1.052409 | 0.958966 | -0.084117 | 0.860670 | 0.084374 | -0.610547 | -0.440081 | -0.715604 | -0.947346 | 1.543847 | -0.130952 | -0.283080 | -0.229638 | 0.217645 | -0.535655 | -0.357217 | -0.166308 | -0.406642 | -1.122912 | 1.852241 | 0.215864 | -1.189184 | -0.841752 | 0.648797 | -0.211876 | 0.553220 | 0.317393 | -1.668444 | -0.217917 | 0.299621 | 2.824488 | 1.561259 | -0.848283 | -0.016283 | -0.427051 | -0.851980 | 0.301876 | -0.119615 | -0.288209 | -0.379963 | 0.073403 | -0.428778 | -0.480085 | -0.065843 | -0.239782 | -0.025252 | -0.396663 | -0.696581 | 0.011381 | -0.518675 | 1.301265 | -1.334408 |
| 296 | 0.576266 | 1.851696 | -0.246596 | -0.205355 | -0.203506 | -0.546169 | -0.084117 | -1.739376 | 0.029104 | 0.310004 | 1.686546 | 0.286542 | 0.234288 | 0.216127 | 0.003611 | -0.293248 | -0.840431 | 3.775857 | -0.102147 | 1.070548 | -0.166308 | -0.821652 | -0.536071 | -0.766599 | -1.327523 | -0.787868 | -0.667723 | -0.181093 | -0.880654 | -0.561735 | -0.755020 | -0.823340 | 0.251050 | -0.114165 | 1.310739 | 0.148294 | -0.012768 | 0.053479 | 0.056555 | -1.501578 | -0.420340 | -0.255422 | -0.322116 | 0.595612 | -0.602321 | 0.035670 | 1.606591 | -0.011976 | -0.239782 | 0.413299 | -0.396663 | -0.713439 | -0.434135 | -1.043138 | -0.827886 | 0.749396 |
| 297 | 0.171337 | -0.827757 | -0.246596 | 0.535923 | -0.203506 | -0.522987 | -0.084117 | 0.126822 | -0.106195 | -0.301378 | 0.876402 | -0.244438 | 0.298196 | -0.152361 | -0.130952 | 0.069899 | -0.338137 | 0.691707 | -0.190702 | 1.168532 | -0.166308 | 0.667540 | -0.572561 | -1.239818 | -0.339711 | -0.046001 | 0.113091 | -0.181093 | -0.503706 | -0.472105 | -0.594056 | 1.090678 | -0.216752 | -0.114165 | -0.389652 | -0.372144 | 0.291425 | 0.176798 | -0.282598 | -1.330989 | -0.420340 | -0.163634 | -0.380171 | -0.144117 | 0.741714 | -0.799781 | -0.380344 | -0.059411 | 0.413814 | -0.540460 | -0.396663 | 0.027427 | -0.104282 | -0.743245 | -0.486512 | 0.749396 |
| 298 | 0.759549 | 2.084582 | -0.246596 | 0.146884 | -0.203506 | 0.208882 | -0.009358 | -0.216041 | -0.106195 | 0.880728 | 1.585278 | 6.296110 | 0.170014 | 0.171411 | -0.130952 | -0.273962 | 3.111041 | 0.635218 | 0.077678 | 0.958567 | -0.040005 | -0.395129 | 0.543795 | 1.475817 | 0.328950 | -0.160746 | -0.707593 | 0.189429 | 6.135435 | 10.139603 | 0.477462 | 0.808678 | 0.512127 | -0.114165 | -0.602710 | 0.343458 | -0.722550 | 0.009490 | 0.332901 | -0.970323 | -0.420340 | -0.031419 | 0.441375 | 0.288578 | -0.700328 | 0.754547 | 0.668890 | -0.048373 | 1.350046 | -0.186589 | 0.114907 | -0.165294 | -0.582764 | 0.954356 | -0.827861 | 0.749396 |
| 299 | 0.222486 | 0.146050 | -0.246596 | 0.300737 | -0.203506 | -0.120625 | -0.084117 | 0.447129 | -0.106195 | -0.135225 | 0.977670 | -0.684715 | -0.524354 | 0.083506 | -0.130952 | -0.434086 | -0.814395 | 0.334934 | -0.228618 | -0.553185 | -0.028523 | -1.209532 | -0.181526 | -1.126891 | -1.327523 | -1.467905 | -0.798430 | 0.286760 | -1.160325 | -0.133874 | -0.891787 | 0.136354 | -0.217917 | -0.114165 | -0.380640 | -0.548460 | -1.249817 | 0.226787 | -0.427051 | 1.102205 | -0.191300 | 0.040507 | -0.290969 | -0.379963 | 2.340720 | -1.125450 | -0.480085 | -0.065843 | -0.217701 | -0.345252 | -0.396663 | -0.294500 | 0.230414 | -0.690232 | 1.301265 | -1.334408 |
| 300 | -0.024734 | -0.973430 | -0.167889 | -0.432464 | -0.203506 | -0.562727 | -0.084117 | -1.739376 | -0.063419 | -0.309191 | 0.572598 | -0.197288 | 0.440714 | -0.088283 | -0.130952 | -0.437169 | -0.526496 | -0.380990 | -0.506755 | -0.413208 | -0.166308 | -0.015585 | 0.711513 | -0.513856 | -1.327523 | 0.617366 | -0.141189 | -0.029523 | -0.698260 | -0.986462 | -1.160025 | -0.527912 | -0.217723 | -0.114165 | -0.383973 | -0.408623 | 1.743436 | -0.080744 | -0.345404 | -1.353067 | -0.420340 | -0.299141 | -0.237448 | -0.126784 | 0.455732 | -0.716513 | -0.346456 | -0.057553 | -0.182371 | 0.024665 | -0.396663 | -0.187065 | 0.351850 | -1.103425 | -0.428842 | 0.749396 |
| 301 | -0.280478 | 0.269672 | -0.246596 | -0.066403 | 1.009594 | 0.261868 | -0.084117 | 1.006537 | -0.106195 | 0.602253 | 1.281474 | 0.324822 | -0.833754 | -0.184975 | -0.130952 | 1.168262 | -0.653137 | 0.248119 | 1.702530 | 0.118704 | -0.043833 | 0.157247 | 0.113391 | 1.465062 | -1.327523 | 0.938632 | 2.827114 | -0.181093 | 0.201550 | 1.385434 | 0.524137 | -0.816178 | 0.446130 | -0.114165 | -0.445940 | 0.370818 | 1.076241 | 0.543675 | 1.161939 | -1.505915 | -0.420340 | -0.304459 | 1.422303 | 0.500283 | -0.225430 | -0.488915 | 0.198833 | -0.043785 | 0.471225 | 3.878031 | 0.587232 | 1.942589 | -0.516831 | -0.817729 | -0.821841 | 0.749396 |
| 302 | 0.000841 | -0.192134 | -0.246596 | -0.429958 | -0.203506 | -0.254746 | -0.084117 | 0.779465 | -0.106195 | 0.123915 | -0.035009 | -0.361816 | -0.670055 | 0.030641 | -0.130952 | 0.025818 | 0.162121 | -0.566214 | -0.121908 | -0.581181 | -0.120380 | 0.817345 | -0.182907 | 0.787497 | 0.955064 | 0.381772 | -0.734164 | -0.181093 | -0.576664 | 2.131787 | 0.889733 | 0.833745 | -0.217917 | -0.114165 | -0.366198 | 0.289347 | 0.603729 | 0.038271 | -0.427051 | 1.102205 | -0.420340 | 0.449741 | -0.041844 | -0.379963 | -0.351930 | 0.600965 | -0.480085 | -0.049670 | -0.239782 | 1.709342 | 2.481794 | 0.525165 | 0.253509 | -0.352712 | 1.301265 | -1.334408 |
| 303 | 0.503805 | -0.851213 | 0.336837 | 0.768085 | -0.203506 | -0.201759 | -0.061444 | 0.063663 | -0.106195 | -0.154061 | -0.035009 | -0.245894 | 0.659674 | -0.072953 | -0.130952 | 1.973864 | -0.699103 | 1.058291 | -0.417954 | 1.602461 | -0.166308 | 0.767587 | -0.727042 | -0.954811 | 0.950444 | -1.390859 | 0.113266 | -0.181093 | -1.136006 | -0.773929 | -1.044125 | 1.196316 | -0.189577 | -0.114165 | 0.243844 | -0.093685 | 1.033654 | -0.257897 | -0.232353 | -1.484982 | -0.083245 | -0.117538 | -0.129222 | -0.261730 | -0.643275 | -1.482575 | -0.307633 | -0.063815 | 0.056103 | 1.127282 | -0.396663 | -0.671545 | -0.302268 | -0.965228 | -0.801776 | 0.749396 |
| 304 | 0.546429 | -0.244217 | -0.246596 | -0.349231 | -0.203506 | -0.731620 | -0.084117 | -0.175439 | -0.106195 | -0.801980 | 0.066259 | 0.865312 | -0.921885 | -0.240414 | -0.130952 | -0.292526 | 0.646675 | 0.396329 | 1.387835 | 2.386332 | -0.166308 | 0.247501 | -0.192692 | 0.206728 | 0.804231 | 0.516190 | -0.838757 | 0.286261 | -0.917133 | 0.494067 | -0.532706 | 1.712868 | -0.074082 | -0.114165 | -0.519264 | -0.250546 | -0.787444 | -0.011360 | -0.094180 | 1.102205 | -0.420340 | -0.074593 | -0.346609 | -0.176306 | -0.170649 | 0.645374 | -0.103896 | -0.039793 | -0.195620 | -0.838176 | -0.396663 | -0.462933 | -0.659500 | -0.841578 | -0.822083 | 0.749396 |
| 305 | -0.109982 | -0.857542 | -0.246596 | -0.292432 | -0.203506 | 0.483747 | -0.084117 | 0.716306 | -0.072789 | -0.456743 | -0.440081 | -0.804785 | -0.900958 | 0.164522 | -0.130952 | -0.349793 | -0.165045 | -0.360178 | -0.340268 | 0.622622 | -0.166308 | -0.242411 | 0.127665 | 0.045403 | 1.144539 | 0.160617 | -0.819332 | 0.060820 | 1.295914 | 0.061398 | -0.366695 | 0.966240 | -0.217917 | -0.114165 | 0.114726 | -0.423215 | 0.106881 | 0.120775 | -0.427051 | -1.223824 | -0.420340 | 0.064770 | -0.389190 | -0.379963 | -0.340575 | -0.314979 | -0.480085 | -0.065843 | -0.208868 | -0.123302 | -0.396663 | 7.025504 | -0.691536 | -0.354671 | 1.301265 | -1.334408 |
| 306 | -0.271953 | -0.939533 | -0.246596 | -0.123116 | -0.203506 | -0.042801 | -0.084117 | 1.307294 | 0.012763 | 1.195229 | 0.167527 | 0.369678 | -0.476585 | -0.183040 | -0.130952 | -0.437169 | -0.041256 | -0.550308 | 0.065080 | -0.525190 | -0.166308 | -0.246646 | 0.718189 | -0.718201 | 0.802881 | -0.451290 | -0.661866 | -0.181093 | -0.090280 | -0.283526 | -0.474147 | 0.050412 | 0.275314 | -0.114165 | -0.431868 | 1.213490 | 0.005484 | 0.240680 | 1.274990 | -0.852205 | -0.420340 | -0.304459 | -0.257752 | 0.222962 | -0.384486 | 0.967342 | -0.107273 | -0.054441 | -0.098464 | -0.564527 | -0.396663 | -0.684138 | 0.148090 | 2.937932 | -0.817124 | 0.749396 |
| 307 | 5.166878 | 5.064144 | -0.246596 | 1.573374 | -0.203506 | 12.223463 | -0.084117 | 3.087776 | 0.155623 | 0.343894 | 0.167527 | 11.556092 | 2.648425 | 1.319458 | 1.062621 | -0.198985 | 3.701336 | 0.740912 | 0.264791 | 1.714442 | -0.009386 | 3.125837 | 1.268079 | -0.244982 | -1.327523 | -1.101575 | -0.150538 | -0.181093 | -0.771218 | 1.693654 | 0.017156 | 4.557038 | -0.149785 | -0.114165 | -0.266211 | 0.848697 | -0.876674 | 1.833202 | -0.131863 | 1.102205 | -0.036528 | -0.119774 | 1.090678 | 0.108443 | 0.395871 | 0.843366 | 0.178676 | -0.013777 | 0.064935 | 1.334969 | 0.895995 | -0.232207 | 3.772190 | 0.483464 | -0.813039 | 0.749396 |
| 308 | -0.382776 | 1.778794 | -0.246596 | -0.416180 | 0.731865 | -0.665387 | -0.084117 | -0.022053 | -0.070300 | -0.315879 | -0.338813 | -0.299817 | -0.231516 | -0.198944 | -0.130952 | 0.149600 | -0.349463 | 0.346232 | -0.595926 | -0.357217 | -0.166308 | -0.539641 | -0.633916 | 0.163708 | -1.327523 | -0.550238 | -0.506160 | -0.181093 | -0.455068 | 1.890980 | 0.590283 | -0.953150 | 0.302489 | -0.114165 | 1.003002 | 0.012105 | 0.721350 | -0.524810 | 0.232411 | 1.102205 | -0.420340 | -0.304459 | -0.354494 | 0.009400 | -0.128366 | -1.121749 | 0.183987 | -0.054824 | -0.023388 | -0.247201 | -0.396663 | -0.736256 | 1.111388 | 2.117771 | -0.826841 | 0.749396 |
| 309 | 0.738237 | 1.079636 | -0.246596 | 0.499403 | -0.203506 | -0.668699 | -0.084117 | 1.301279 | -0.106195 | -0.489937 | -1.655296 | 0.036011 | 1.152095 | -0.072048 | 0.007083 | -0.294166 | 0.757233 | 0.052192 | -0.865418 | 1.784431 | -0.062969 | -0.733383 | 0.491994 | -2.288430 | -0.453805 | -0.174507 | -0.326677 | -0.181093 | -1.512953 | -0.162508 | -2.154872 | 0.733030 | -0.210929 | -0.114165 | -0.798733 | 0.542879 | -0.706326 | -0.378339 | -0.383087 | -0.817417 | -0.420340 | -0.304459 | -0.175745 | -0.292062 | -0.539451 | -0.549978 | -0.185487 | -0.051393 | -0.235365 | 0.925833 | 0.042188 | 1.417248 | -0.286251 | -0.051280 | -0.803698 | 0.749396 |
| 310 | -0.570322 | -0.448519 | -0.246596 | -0.121042 | 1.374380 | 0.006873 | -0.084117 | 0.105769 | -0.080303 | -0.411690 | -2.161636 | -0.190404 | 0.142665 | 0.161128 | -0.130952 | 0.187581 | -0.001196 | 0.621244 | 1.782809 | -0.889130 | -0.135689 | 0.858370 | -0.641744 | 1.561857 | 1.051636 | 1.867056 | -0.271452 | -0.181093 | 0.006997 | 1.190035 | 0.883147 | 1.404906 | -0.185695 | -0.114165 | -1.175966 | -0.049910 | -0.440665 | -0.219032 | -0.257475 | -0.651349 | -0.420340 | -0.304459 | -0.408262 | -0.249969 | -0.722186 | -0.864545 | -0.248495 | -0.040993 | 20.167424 | 0.197589 | -0.288891 | 1.773193 | -1.372475 | 1.741506 | -0.808787 | 0.749396 |
| 311 | -0.612946 | -0.723910 | -0.246596 | -0.241248 | -0.203506 | -1.112457 | -0.076763 | -1.739376 | -0.106195 | 0.713820 | -0.338813 | 0.569926 | -0.306099 | -0.210221 | -0.130952 | -0.220422 | 0.240127 | -0.549267 | 0.794263 | 0.062714 | -0.166308 | 0.328756 | 0.005646 | 0.529378 | 0.733804 | -0.925775 | -0.758224 | -0.181093 | 0.128593 | 0.105154 | 1.117309 | -0.998807 | -0.217917 | -0.114165 | 0.158423 | 0.008457 | 0.137301 | 0.080726 | -0.427051 | 1.102205 | -0.420340 | 0.094809 | -0.375588 | -0.379963 | -0.325774 | 0.626870 | -0.480085 | -0.055845 | -0.239782 | 0.436475 | 0.509412 | -0.405838 | -0.619270 | 0.589280 | 1.301265 | -1.334408 |
| 312 | 0.103138 | -0.073304 | -0.246596 | -0.240428 | -0.203506 | 1.179189 | -0.084117 | 1.086237 | -0.106195 | -0.439320 | -0.642617 | -0.127270 | 0.102005 | -0.040062 | -0.130952 | -0.290985 | 1.011332 | 0.682490 | -0.217749 | -0.273231 | -0.166308 | -0.451769 | 0.061936 | 1.443552 | 0.676701 | 0.291352 | 0.288088 | -0.181093 | 0.955445 | -0.196267 | 1.007565 | -0.424960 | -0.106110 | -0.114165 | 2.912624 | 0.289347 | 0.134259 | 0.056349 | -0.056496 | -0.100238 | 0.216755 | -0.243202 | -0.194621 | -0.051264 | -0.556576 | -0.055924 | -0.018493 | -0.065843 | 0.042854 | 1.683047 | -0.074591 | -0.696235 | 0.075079 | -0.314526 | -0.817618 | 0.749396 |
| 313 | 0.026415 | -0.669710 | -0.202178 | -0.383094 | -0.203506 | 0.228752 | 0.089912 | -1.428092 | -0.106195 | -0.957925 | -0.237545 | -0.690407 | -0.924110 | -0.178580 | 0.343077 | 0.510255 | -0.888112 | -0.312311 | -0.671265 | -0.049268 | -0.166308 | -0.901186 | 0.900066 | -2.073330 | -1.327523 | 0.887850 | -0.532073 | -0.181093 | -2.643796 | -0.736759 | -1.958652 | -0.159074 | -0.217723 | -0.114165 | -1.037466 | 1.639081 | -0.237870 | -0.114290 | -0.219792 | 1.102205 | 1.745231 | -0.304459 | -0.017794 | -0.215923 | -0.401117 | -0.770175 | -0.454334 | -0.056164 | 0.078184 | -0.663468 | -0.396663 | -0.249938 | -0.694888 | -1.029780 | 0.147861 | 0.749396 |
| 314 | -0.604421 | -0.651361 | -0.246596 | -0.305995 | -0.203506 | -0.619024 | -0.084117 | -0.471685 | -0.106195 | -0.662127 | -2.161636 | -0.251564 | -0.184733 | -0.154993 | -0.130952 | -0.325915 | -0.844147 | -0.353191 | -0.521328 | 0.006723 | -0.166308 | -0.468973 | -0.394253 | 0.163708 | -1.327523 | -0.074494 | -0.489220 | -0.181093 | 0.614977 | -0.970662 | 0.450473 | 0.318088 | -0.068259 | -0.114165 | -0.142771 | -0.698026 | -0.343323 | -0.248140 | -0.156986 | 1.102205 | 0.366524 | -0.304459 | -0.440148 | -0.207876 | -0.492202 | -0.116987 | -0.071165 | -0.065843 | 0.162092 | -0.765975 | -0.396663 | -0.688312 | -0.950799 | -1.108530 | -0.824348 | 0.749396 |
| 315 | -0.493599 | 1.336542 | -0.246596 | -0.427280 | -0.203506 | 0.672510 | -0.084117 | 0.017046 | -0.106195 | -0.066485 | -0.845152 | -0.202495 | -0.991257 | 0.169337 | -0.130952 | -0.111937 | 0.252750 | 0.461291 | -0.718568 | -0.721158 | -0.166308 | 0.698242 | 0.170947 | 3.336430 | -1.327523 | -0.164816 | 2.056805 | -0.181093 | 1.514787 | -0.212427 | 0.152957 | -1.363168 | -0.080876 | -0.114165 | 0.786735 | 0.528895 | 0.599673 | -0.062786 | 0.219850 | -0.970230 | -0.420340 | -0.048763 | -0.171458 | 0.165393 | -0.621497 | 2.249663 | -0.007569 | -0.065843 | 0.047271 | 0.009511 | -0.396663 | -0.699774 | -0.159599 | -0.018409 | -0.811414 | 0.749396 |
| 316 | 1.935973 | -0.235938 | 0.140334 | 0.035489 | -0.203506 | 2.815132 | -0.084117 | 2.180993 | -0.066542 | 0.757860 | 1.180206 | -0.212997 | -0.141526 | -0.124353 | -0.130952 | -0.039648 | -0.387156 | -0.150871 | -0.020386 | -0.217240 | 0.159017 | 0.284556 | 1.311361 | -0.642916 | 0.628023 | 0.539158 | -0.189455 | -0.181093 | -0.479387 | -0.258216 | -2.887210 | -1.210978 | -0.217723 | -0.114165 | -0.195110 | 0.265028 | 0.080518 | 0.541272 | -0.345404 | -1.457514 | -0.420340 | -0.183953 | 8.768070 | -0.167639 | 0.103582 | 0.130966 | -0.368078 | -0.029925 | -0.067550 | 2.311013 | -0.396663 | 4.835234 | -0.093666 | -1.140912 | -0.428842 | 0.749396 |
| 317 | 0.171337 | -0.354252 | -0.021431 | -0.280683 | -0.203506 | 1.755412 | -0.084117 | 1.214059 | -0.106195 | -0.768804 | 0.977670 | -0.465382 | 0.692262 | -0.137795 | -0.130952 | 0.121262 | -0.311971 | -0.675327 | -0.729807 | 0.174695 | -0.166308 | 0.671774 | -0.107394 | -2.256165 | -1.327523 | -0.301560 | 1.665088 | -0.057142 | -1.306240 | -0.986462 | -1.843325 | -0.645188 | -0.217723 | -0.114165 | 0.518129 | -0.698026 | 0.477996 | -0.272786 | -0.420771 | -1.355878 | -0.420340 | -0.299793 | -0.275001 | -0.303824 | -0.043203 | -0.607340 | -0.100098 | -0.057093 | -0.098464 | 0.564831 | -0.396663 | -0.097925 | 1.037632 | -1.046775 | -0.774863 | 0.749396 |
| 318 | -0.212280 | -0.670562 | 0.057801 | -0.481142 | -0.203506 | -0.476624 | -0.051640 | 1.636623 | -0.106195 | 0.761624 | -0.237545 | -0.181491 | -0.121360 | -0.183817 | -0.130952 | 0.397493 | -0.163850 | 0.114924 | -0.748827 | -0.441204 | 0.185809 | -0.397511 | 0.144241 | -2.180880 | 0.535679 | 0.775916 | -1.134626 | 0.983216 | -1.403517 | -0.986462 | -1.442794 | 0.583078 | 0.182142 | -0.114165 | -0.642704 | -0.698026 | -1.034854 | 0.092420 | 1.513653 | -1.032880 | 0.163959 | 0.297277 | -0.440592 | 0.666799 | 0.064463 | -0.061475 | 0.026641 | -0.065843 | -0.177955 | 2.015972 | -0.396663 | -0.336287 | -0.641993 | -1.152521 | -0.810889 | 0.749396 |
| 319 | 3.095348 | 0.692911 | -0.246596 | 8.237573 | -0.203506 | 1.086463 | -0.084117 | 2.180993 | -0.052827 | 1.431439 | 1.382742 | 2.731575 | 2.648425 | -0.156350 | -0.130952 | -0.221812 | 1.587331 | -0.119208 | -0.050522 | 1.238521 | -0.028523 | -1.007056 | 1.408516 | -0.234227 | -1.327523 | -0.852703 | -0.610403 | -0.181093 | -1.354878 | -0.814635 | -1.744176 | 0.695878 | 0.346164 | -0.114165 | -0.053894 | -0.044438 | -0.702270 | 0.253975 | 1.676948 | 1.102205 | -0.420340 | -0.143949 | -0.172838 | 0.110300 | -0.326892 | 1.518758 | -0.219551 | -0.042875 | 0.303410 | 0.555917 | 1.131018 | 0.514346 | 0.996284 | -1.296523 | -0.815886 | 0.749396 |
| 320 | -0.783442 | 1.488934 | -0.246596 | -0.464340 | -0.203506 | -1.085964 | -0.084117 | -0.504768 | -0.106195 | -0.493987 | 0.977670 | -0.570889 | -0.386371 | -0.275545 | -0.130952 | -0.162709 | -0.132394 | -0.395781 | -0.444754 | -1.281066 | -0.166308 | 0.455006 | -1.506004 | 0.142198 | -1.327523 | 0.061960 | 0.738965 | -0.181093 | -0.600983 | -0.657295 | 1.574465 | -0.466140 | -0.217723 | -0.114165 | -0.746888 | 0.149510 | -0.491364 | -0.435377 | -0.219792 | 0.197006 | -0.081243 | -0.304459 | -0.302797 | -0.124927 | 0.508232 | 0.294725 | -0.434504 | -0.052583 | 0.056103 | 0.539873 | -0.317823 | -0.769738 | 2.110818 | -0.446359 | 0.147861 | 0.749396 |
| 321 | 11.338843 | 7.629372 | 0.833386 | 0.634878 | -0.203506 | 4.639838 | -0.069410 | -0.434090 | -0.034856 | 0.512264 | -0.642617 | 4.163077 | 2.648425 | -0.077653 | 0.379923 | 3.300703 | 1.388909 | 10.190183 | 3.161142 | 3.646125 | 0.522616 | -0.293494 | 0.678360 | -0.427817 | -1.327523 | -1.361495 | 0.010541 | -0.030355 | -0.503706 | 1.840616 | -1.015562 | 4.768314 | -0.217917 | 0.904072 | -0.549383 | 3.222283 | 1.666374 | 2.740571 | -0.427051 | 0.467671 | 0.114087 | 0.593101 | 0.270689 | -0.379963 | -0.382109 | 0.882224 | -0.480085 | 0.842809 | 0.295460 | 1.011404 | 1.215947 | -0.116116 | 1.813187 | -0.330052 | 1.301265 | -1.334408 |
| 322 | -0.323102 | -0.890454 | 0.268710 | -0.358776 | -0.203506 | 0.611245 | -0.084117 | 0.170432 | -0.106195 | -0.134985 | -0.541349 | -0.269723 | -0.166267 | -0.130953 | -0.130952 | -0.069036 | -0.180241 | -0.237240 | 0.499576 | -0.609176 | 0.067161 | -0.590194 | -0.500041 | -0.105167 | -1.327523 | -0.796978 | 0.614505 | -0.181093 | -0.284834 | -0.325460 | 0.706613 | -0.720388 | -0.148814 | -0.114165 | 0.040291 | -0.698026 | -0.982127 | -0.262192 | -0.370526 | -0.703879 | -0.420340 | -0.298490 | 2.542109 | -0.358297 | -0.304903 | -0.201180 | -0.166029 | -0.065843 | -0.116128 | 0.568397 | 0.053011 | -0.651186 | 0.319815 | -1.111713 | -0.828528 | 0.749396 |
| 323 | -0.629996 | -1.594110 | -0.246596 | -0.459848 | -0.203506 | -0.205071 | -0.032644 | -1.739376 | -0.090262 | 0.633102 | 0.977670 | 0.996899 | 0.281522 | -0.036164 | -0.130952 | 1.170361 | -0.268195 | 0.099316 | 0.139184 | -0.945121 | 0.109262 | 0.568022 | -0.351777 | -1.212931 | -0.308045 | 0.233786 | 0.193490 | -0.181093 | -1.671028 | -0.230641 | 0.070488 | -1.928959 | 0.386927 | -0.114165 | -0.589872 | -0.257842 | -0.243954 | -0.411502 | 0.194728 | -0.892823 | 0.207135 | -0.173635 | -0.417823 | 0.915026 | -0.322086 | -0.166947 | 1.957253 | -0.055477 | 0.113513 | -0.082299 | -0.267420 | -0.600176 | -1.730824 | -0.243539 | -0.827912 | 0.749396 |
| 324 | -0.340152 | -0.525484 | -0.246596 | -0.384390 | -0.203506 | -0.446820 | -0.071248 | -1.739376 | -0.106195 | -0.350913 | -0.237545 | -0.119051 | 0.052760 | 0.213809 | -0.130952 | 0.309527 | -1.220201 | -0.736424 | 0.802291 | -0.441204 | -0.166308 | 2.048611 | 0.384595 | -0.944056 | -1.327523 | 0.845111 | 0.210335 | -0.181093 | -0.479387 | -0.631923 | 0.316462 | -1.741854 | -0.011967 | -0.114165 | 0.443817 | 0.298467 | 0.362403 | 0.420103 | 0.244972 | -1.208176 | -0.173137 | -0.304459 | -0.195064 | -0.121213 | 0.035253 | 0.140218 | -0.206765 | -0.046302 | -0.058718 | -0.157174 | -0.396663 | -0.475659 | 0.736648 | -0.800594 | -0.817912 | 0.749396 |
| 325 | 0.716925 | 0.032537 | -0.246596 | -0.300379 | 0.229214 | -0.181890 | -0.084117 | 0.132837 | -0.106195 | -0.088360 | -1.047688 | -0.106982 | -0.920843 | 0.054784 | -0.130952 | 1.428093 | -0.297722 | 3.460262 | -0.152785 | -0.049268 | -0.166308 | -0.705857 | -0.584188 | -2.223900 | 0.718061 | -1.206628 | 0.634789 | -0.181093 | -2.157412 | 0.720747 | -1.257526 | -0.844826 | -0.217917 | -0.114165 | -0.747135 | 0.121543 | -0.256122 | -0.115471 | -0.427051 | -1.176996 | -0.420340 | -0.030345 | -0.282246 | -0.379963 | -0.330268 | -1.047733 | -0.480085 | -0.050144 | -0.124961 | -0.717842 | -0.127273 | -0.098786 | -1.493166 | 1.197599 | 1.301265 | -1.334408 |
| 326 | -0.442450 | 0.024138 | -0.246596 | -0.142336 | -0.203506 | -0.373964 | -0.084117 | -1.739376 | -0.106195 | -0.239100 | 0.673866 | 0.474700 | -0.235121 | -0.188904 | -0.130952 | -0.289903 | 1.358428 | 0.293013 | -0.095478 | 0.202691 | 0.067161 | -0.920508 | -0.057896 | 0.497113 | 2.003951 | 0.126891 | 0.696341 | 0.672756 | -0.309153 | 0.174029 | -0.705374 | 0.253631 | -0.217917 | -0.114165 | -1.400381 | 0.610365 | -0.012768 | -0.004322 | -0.427051 | 1.102205 | -0.420340 | 4.908665 | 1.179239 | -0.379963 | -0.229471 | 0.236438 | -0.480085 | -0.065843 | 0.378485 | -0.524416 | 0.414089 | -0.512065 | 0.103017 | 3.620036 | 1.301265 | -1.334408 |
| 327 | -0.468024 | -0.059037 | -0.246596 | -0.369099 | -0.203506 | -0.658764 | -0.084117 | -0.043106 | -0.067176 | -0.702778 | -0.845152 | -0.545583 | -0.823868 | -0.210069 | -0.130952 | -0.253496 | -0.156063 | -0.086355 | 0.335930 | -0.861135 | -0.166308 | 0.519851 | -0.272004 | -0.492346 | 0.533659 | -0.003360 | 1.181850 | -0.181093 | 0.225869 | -0.211516 | -0.827001 | 0.357478 | -0.140079 | -0.114165 | -0.731334 | -0.698026 | 1.735325 | -0.147554 | -0.345404 | -0.145426 | -0.420340 | -0.304459 | -0.405601 | -0.051264 | -0.274739 | -0.327931 | 1.216214 | -0.057519 | -0.094047 | -0.622466 | 0.235272 | -0.444739 | 0.547415 | -0.503079 | -0.827549 | 0.749396 |
| 328 | 0.427081 | -0.357619 | 0.093965 | -0.135037 | -0.203506 | 0.495338 | -0.037546 | 2.289266 | -0.106195 | 0.168643 | 0.268795 | 0.557637 | -0.496498 | 0.102068 | -0.130952 | -0.213482 | 0.041586 | -0.539010 | 0.199826 | 0.174695 | -0.166308 | -0.255381 | -0.464932 | 0.077668 | 0.746792 | 0.104698 | 2.594341 | -0.181093 | -0.138918 | -0.053711 | -0.561913 | -0.336331 | -0.136197 | -0.114165 | 1.296667 | 0.203013 | 1.810359 | 0.167501 | -0.207230 | 0.099984 | 0.119706 | -0.304459 | -0.246269 | -0.044455 | -0.616363 | -0.669328 | 0.198527 | -0.052685 | -0.230949 | -0.066255 | -0.396663 | -0.749552 | -0.018792 | 0.099750 | -0.820321 | 0.749396 |
| 329 | 0.512329 | 1.405114 | 0.375103 | 0.294863 | -0.203506 | -0.132215 | -0.084117 | 1.319324 | -0.106195 | -0.642063 | 1.787814 | -0.182638 | -0.496329 | 0.220890 | -0.130952 | -0.351695 | -0.079813 | -0.708923 | -0.637672 | 0.174695 | -0.020868 | 1.524556 | 0.242662 | -0.707446 | -1.327523 | 2.330880 | -0.529171 | -0.181093 | -0.187557 | -0.410071 | 0.047795 | -1.264692 | 0.491746 | -0.114165 | 0.773156 | -0.180020 | 0.914005 | 0.236322 | 2.191957 | -0.817370 | -0.420340 | -0.272625 | -0.193684 | 1.080923 | 0.126925 | 2.096080 | 0.218614 | -0.058158 | -0.164706 | -0.948705 | -0.396663 | -0.547987 | 2.674418 | 0.877844 | -0.816067 | 0.749396 |
| 330 | -0.246379 | -0.793837 | 0.003104 | 0.959818 | -0.203506 | -0.476624 | -0.084117 | -0.763419 | -0.106195 | -0.266447 | -0.541349 | -0.506530 | -0.560598 | -0.081205 | -0.130952 | -0.407387 | -0.416423 | 3.481669 | -0.739935 | -0.441204 | 0.113089 | 0.400748 | -0.041780 | 0.120688 | 0.662512 | -1.142084 | -0.842746 | -0.181093 | 0.420423 | 0.468800 | -0.139334 | -0.325588 | -0.176960 | -0.114165 | 0.245572 | 0.015753 | 0.404990 | -0.192433 | -0.332842 | -0.212371 | 0.012035 | 0.003179 | -0.246368 | -0.371916 | -0.433144 | 0.391871 | -0.378404 | -0.057384 | -0.239782 | -0.311380 | -0.170694 | 0.503464 | -0.489266 | 0.007817 | -0.821804 | 0.749396 |
| 331 | 0.580528 | -0.607852 | 0.860247 | -0.124109 | -0.203506 | -0.370652 | -0.084117 | -1.739376 | -0.106195 | 0.666485 | 0.572598 | 1.289395 | -0.950698 | -0.166298 | -0.130952 | -0.406338 | -0.706866 | -0.629393 | -0.366204 | 0.790594 | -0.166308 | -0.144482 | 0.448827 | -2.094840 | -1.327523 | 0.560672 | 2.253899 | -0.181093 | -1.087367 | -0.986462 | -1.380299 | -1.316616 | -0.111933 | -0.114165 | 0.896103 | -0.698026 | -0.517727 | 0.363033 | 0.056555 | -1.139975 | -0.420340 | -0.074435 | 1.562463 | 0.172202 | -0.430907 | 0.782303 | 0.084112 | -0.065843 | -0.032221 | 0.321489 | -0.396663 | 0.393390 | 0.776133 | -1.225676 | -0.812086 | 0.749396 |
| 332 | -0.638520 | 1.034966 | -0.246596 | -0.383008 | 0.025413 | -0.701815 | -0.084117 | 0.286223 | -0.039021 | 0.109213 | -2.667975 | -0.151374 | -0.330941 | -0.236389 | -0.130952 | -0.069233 | 1.747263 | -0.479845 | -0.221455 | -0.777149 | -0.166308 | 0.588667 | -0.287199 | 0.905802 | 0.748353 | 0.257917 | 0.216797 | -0.181093 | 0.031316 | 0.225071 | 1.426422 | -0.475093 | -0.175019 | -0.114165 | -0.678749 | -0.378224 | -0.633320 | -0.160133 | -0.144425 | 1.102205 | -0.151895 | -0.035804 | -0.311421 | -0.021551 | 0.518736 | 0.623169 | -0.076123 | -0.065843 | -0.018972 | -0.468260 | 0.394738 | -0.673234 | -0.419235 | 2.707697 | -0.803057 | 0.749396 |
| 333 | -0.246379 | -0.059782 | -0.113155 | 0.166688 | -0.203506 | -0.347471 | -0.084117 | 0.342615 | -0.106195 | -0.296922 | 0.167527 | -0.279750 | 0.495131 | -0.072998 | -0.130952 | 0.615637 | -0.206786 | 0.467535 | -0.675218 | -0.595178 | -0.166308 | 0.587211 | 0.105333 | -0.761221 | 0.717489 | 1.490453 | -0.736710 | -0.181093 | -0.029482 | -0.035814 | 0.218101 | -0.266055 | -0.137168 | -0.114165 | -0.668256 | -0.368496 | 0.773063 | -0.704826 | -0.081619 | -0.923442 | -0.420340 | 0.015012 | -0.326847 | 0.092968 | -0.034041 | -0.017066 | 0.114190 | -0.045450 | 0.206253 | -0.392939 | -0.119207 | -0.250286 | 0.347753 | -0.837102 | -0.813310 | 0.749396 |
| 334 | -0.271953 | 0.111590 | 0.175373 | -0.278567 | -0.203506 | -0.304420 | -0.084117 | 1.120824 | -0.106195 | 0.805116 | 0.268795 | -0.396389 | -0.384624 | 0.116861 | -0.130952 | -0.248642 | 0.933402 | -0.515225 | -0.224419 | -0.637172 | -0.059142 | 0.911570 | -0.386540 | 0.335788 | 0.726678 | -0.230911 | 1.054004 | -0.181093 | 2.365959 | -0.707892 | 0.805976 | -0.241436 | -0.031378 | -0.114165 | 0.905978 | -0.466990 | 1.380433 | 0.039197 | 0.119360 | -1.236107 | -0.420340 | -0.304459 | -0.110150 | 0.155489 | -0.438432 | 0.316005 | 0.165686 | -0.060060 | -0.230949 | -0.330098 | -0.396663 | -0.503533 | 0.308640 | -1.169166 | -0.819385 | 0.749396 |
| 335 | -0.357202 | -0.921263 | -0.246596 | -0.375622 | -0.203506 | -0.453443 | -0.084117 | 0.418557 | -0.084785 | 0.208401 | -0.035009 | -0.271267 | 0.654295 | -0.114712 | -0.130952 | 0.821645 | 0.315970 | -0.277377 | 0.273189 | -0.385213 | -0.166308 | 1.500470 | -0.445708 | 0.013138 | 0.863279 | -1.015710 | 3.646174 | -0.181093 | 0.104274 | -0.373833 | -0.121079 | -0.045379 | -0.195400 | -0.114165 | -0.452112 | -0.698026 | -0.377798 | 0.362682 | -0.244914 | -0.333810 | -0.420340 | -0.038498 | -0.192206 | -0.245636 | -0.242576 | -0.218758 | -0.296852 | -0.044071 | -0.239782 | -0.216895 | -0.396663 | 0.341291 | 0.669224 | -0.792271 | -0.796489 | 0.749396 |
| 336 | -0.544747 | -0.485661 | -0.246596 | -0.390264 | -0.203506 | -0.678634 | -0.030805 | 0.597507 | -0.044905 | 0.252441 | 0.066259 | -0.098024 | 0.718146 | 0.090443 | -0.130952 | -0.297315 | 0.503974 | -0.380990 | 1.641641 | -0.301227 | -0.166308 | 1.053170 | 0.659137 | -0.137432 | 0.866556 | 0.244737 | 2.347100 | -0.181093 | 1.368872 | -0.157001 | 0.363925 | 0.147097 | 0.584918 | -0.114165 | 0.131760 | -0.114357 | -0.041159 | -0.189947 | 0.910715 | -1.019441 | -0.323291 | -0.304459 | -0.389732 | 0.635848 | -0.413150 | -0.253916 | 0.546024 | -0.045068 | -0.094047 | 0.269790 | -0.396663 | -0.639130 | -0.321638 | 0.358975 | -0.825081 | 0.749396 |
| 337 | -0.135556 | 0.447931 | -0.246596 | -0.250924 | -0.203506 | -0.380587 | -0.084117 | -1.739376 | -0.046897 | -0.029241 | 0.471331 | -0.346702 | 0.105712 | -0.210378 | -0.130952 | 0.353542 | -0.125956 | -0.130060 | -0.581600 | 0.034718 | 0.009750 | -0.049199 | -0.207426 | -0.169697 | -0.351823 | 0.843948 | -0.095703 | -0.181093 | -1.476474 | -0.986462 | 0.237144 | 2.622429 | -0.217723 | -0.114165 | -0.197332 | -0.169684 | 1.376378 | 0.242559 | -0.295159 | -1.177366 | -0.420340 | -0.288859 | -0.368343 | -0.197352 | -0.394434 | 0.254942 | -0.424902 | -0.057645 | -0.041053 | 1.362602 | -0.396663 | 0.777395 | -0.548121 | 0.534589 | -0.198161 | 0.749396 |
| 338 | -0.749343 | 0.247105 | -0.246596 | -0.395490 | -0.154411 | -1.009796 | -0.003230 | 0.236599 | -0.084106 | -0.748183 | -2.566707 | -0.372053 | -0.844598 | -0.068578 | -0.130952 | -0.309057 | -0.155909 | -0.391098 | -0.473408 | -1.113093 | -0.166308 | -0.102134 | 0.259353 | -1.772190 | 0.456367 | -0.008981 | -0.900778 | -0.181093 | -1.549432 | -0.145416 | -0.849980 | -0.490312 | -0.210929 | -0.114165 | -0.393849 | 0.018793 | -0.805696 | -0.458617 | -0.408210 | -0.856323 | 0.237689 | -0.067568 | -0.360458 | -0.292062 | -0.270486 | -1.180961 | 0.125851 | -0.050633 | -0.129377 | -0.528872 | 0.439865 | 0.635109 | -1.020830 | -0.515597 | -0.818116 | 0.749396 |
| 339 | -0.485074 | 0.066505 | -0.246596 | -0.106184 | -0.203506 | -0.324290 | 0.012089 | -1.062672 | -0.106195 | 0.100106 | -0.946420 | -0.582561 | -0.357360 | -0.131879 | 0.330070 | -0.437169 | 0.002520 | 0.178846 | 0.402253 | -0.161250 | -0.166308 | -0.062697 | -0.098530 | 0.765987 | 0.825389 | -0.287895 | -0.885827 | -0.181093 | 0.760892 | -0.239261 | 0.822369 | -1.223511 | -0.100287 | -0.114165 | 0.129785 | -0.370928 | -0.617096 | -0.238579 | 0.031432 | 0.111853 | 0.396078 | -0.304459 | 0.410623 | 0.118348 | -0.437992 | -0.055924 | 0.088491 | -0.065843 | -0.239782 | -0.155391 | -0.396663 | -0.632980 | -0.034437 | -0.527976 | -0.815043 | 0.749396 |
| 340 | 0.316259 | 0.196256 | -0.224800 | 0.036180 | -0.203506 | -0.946875 | -0.084117 | 0.183966 | -0.088904 | -0.475840 | 1.889081 | -0.119845 | 1.844830 | -0.193700 | -0.130952 | 0.403823 | -0.559455 | -0.349921 | -0.580488 | -0.497194 | -0.166308 | -0.308051 | -0.717142 | -1.245196 | -0.322855 | -1.057285 | 0.222795 | -0.181093 | -0.600983 | -0.600937 | 0.070059 | -1.224407 | 0.804261 | -0.099966 | 0.791672 | -0.142932 | 0.032861 | -0.225414 | 0.496196 | -1.479199 | -0.323291 | -0.304459 | -0.344687 | 0.232247 | -0.548777 | -0.722064 | 0.548498 | -0.042793 | -0.239782 | -0.256115 | -0.396663 | -0.590052 | -0.342871 | -0.556791 | -0.828484 | 0.749396 |
| 341 | 0.256585 | -0.760143 | -0.203304 | -0.317225 | -0.203506 | -0.811099 | -0.084117 | -1.739376 | -0.066542 | -0.616526 | 0.775134 | -0.103033 | -0.755538 | -0.041104 | -0.130952 | 0.595925 | -0.888432 | -1.250474 | 0.005797 | -0.245236 | -0.166308 | -0.169891 | 1.003897 | -0.546121 | 0.798529 | -1.146542 | -0.535082 | -0.181093 | -0.163238 | -0.599730 | 0.930394 | -0.314845 | -0.162402 | -0.114165 | -1.400381 | -0.119221 | -0.752969 | 0.663241 | 0.081677 | -1.242282 | -0.420340 | -0.001434 | -0.159876 | 0.201296 | -0.284469 | -2.200526 | -0.075544 | -0.053841 | -0.222117 | -0.944248 | -0.396663 | -0.616725 | -1.183615 | -0.884170 | -0.791766 | 0.749396 |
| 342 | 2.021221 | -0.492644 | 0.200958 | 1.176690 | -0.203506 | -0.314355 | -0.084117 | -1.479221 | -0.106195 | -0.791392 | -0.237545 | -0.511075 | -0.719317 | 0.420931 | -0.130952 | 0.146386 | 0.094830 | 2.264331 | -0.019521 | 1.014557 | -0.078279 | 8.085044 | -0.916170 | -0.589141 | 0.866624 | -0.950778 | 0.434632 | -0.181093 | -0.552345 | 1.309613 | 0.223900 | -1.002388 | -0.197341 | -0.114165 | 0.713411 | -0.325937 | 1.416937 | -0.399986 | -0.420771 | -1.035836 | -0.027216 | -0.043304 | -0.414521 | -0.360154 | -0.316837 | -1.752732 | 0.385181 | -0.033381 | -0.239782 | 0.942769 | -0.396663 | -0.737412 | -1.132954 | -0.545391 | -0.829912 | 0.749396 |
| 343 | 0.290684 | -0.461481 | -0.018730 | 0.240353 | -0.203506 | 0.659263 | -0.084117 | -0.152882 | -0.074917 | -0.071292 | 0.673866 | -0.320535 | 2.482726 | -0.068536 | -0.130952 | -0.335362 | -0.302503 | -0.423059 | 0.115965 | 1.462484 | -0.166308 | 0.400483 | -0.184979 | 0.486358 | 0.706322 | 1.172289 | 0.776162 | -0.181093 | -0.260514 | -0.176126 | -0.228174 | 0.651116 | -0.143961 | -0.114165 | -0.838727 | -0.538125 | 0.325900 | 0.776923 | -0.119302 | 1.102205 | -0.420340 | -0.296236 | 0.095114 | -0.017218 | -0.109091 | 0.378918 | 0.015103 | -0.056392 | 0.391733 | -0.096561 | -0.396663 | 1.280806 | 0.644639 | -0.913544 | -0.813809 | 0.749396 |
| 344 | -0.382776 | -1.215350 | 0.031503 | -0.446156 | -0.203506 | -0.171955 | 0.116874 | -0.325817 | -0.106195 | -0.298708 | -0.440081 | -0.082448 | -0.811391 | -0.321829 | -0.130952 | -0.211153 | -0.644995 | -0.836915 | 0.379775 | -0.357217 | 0.478602 | -0.758130 | 0.339010 | -0.793486 | -1.327523 | 0.324205 | 0.594839 | -0.090917 | -0.114599 | -0.158441 | -0.088435 | 0.716468 | -0.217917 | -0.114165 | 1.888440 | -0.353904 | -0.891884 | -0.393984 | -0.427051 | 1.102205 | 1.087202 | 0.042972 | -0.131539 | -0.379963 | -0.431827 | 0.502894 | -0.480085 | -0.054548 | -0.239782 | -0.409875 | -0.396663 | -0.375151 | -0.040770 | -0.878435 | 1.301265 | -1.334408 |
| 345 | -0.331627 | -0.297297 | -0.246596 | -0.321371 | -0.203506 | -0.734931 | -0.084117 | 0.532844 | -0.034404 | -0.127372 | 1.281474 | 0.067408 | -0.476839 | -0.016403 | 0.674000 | -0.008424 | 0.003207 | -0.064503 | 0.082618 | -0.161250 | 1.134994 | -0.472149 | 0.709901 | -0.293379 | 0.686438 | 0.525784 | 1.608184 | 7.363788 | -0.309153 | -0.267133 | 0.008387 | -1.582949 | 0.356840 | 2.401001 | 0.090038 | 0.081415 | 1.917840 | 0.104192 | 0.508757 | -0.935464 | -0.420340 | 1.554612 | -0.352474 | 0.359765 | -0.158666 | -0.981119 | 0.430179 | -0.040436 | 0.431479 | 0.252854 | -0.396663 | 0.102344 | 0.315904 | -0.393556 | -0.825239 | 0.749396 |
| 346 | -0.254904 | 0.980072 | -0.246596 | -0.394195 | -0.203506 | 0.745366 | -0.084117 | -0.099498 | -0.091212 | 0.229118 | -1.047688 | -0.419787 | 0.106906 | -0.321829 | -0.130952 | -0.152771 | -0.149980 | 0.005068 | -0.249614 | -0.833139 | -0.166308 | -0.548905 | -0.675011 | -0.234227 | -1.327523 | -0.114906 | -0.795280 | -0.181093 | 0.420423 | -0.224203 | 0.138926 | -1.781244 | -0.087670 | -0.114165 | 2.390471 | -0.698026 | -1.053106 | -0.344905 | 0.056555 | -0.096743 | -0.420340 | -0.076037 | -0.260364 | 0.006305 | -0.292970 | -0.327931 | -0.036348 | -0.065843 | 0.175340 | -0.867591 | 0.610920 | -0.285272 | -1.420155 | -0.567841 | -0.815873 | 0.749396 |
| 347 | 0.128713 | -0.114579 | -0.246596 | -0.090764 | -0.203506 | 0.136026 | -0.084117 | -0.862669 | -0.106195 | -0.766610 | 0.977670 | 0.095847 | 0.476429 | 0.114691 | 0.277992 | 0.711048 | -0.540851 | 0.285283 | -0.337427 | -0.077263 | -0.135689 | -0.336371 | -0.648190 | -0.868771 | -1.327523 | -1.399775 | -0.518263 | -0.181093 | -0.746898 | -0.463654 | 0.084806 | 0.629630 | 0.105469 | -0.114165 | 1.362954 | -0.459086 | -0.227730 | -0.471571 | -0.043935 | -1.525102 | -0.420340 | -0.304459 | -0.291560 | 0.174059 | -0.677212 | -0.623994 | 0.780760 | -0.041888 | 0.016357 | -0.281965 | -0.306489 | -0.615656 | -0.482561 | -0.331801 | -0.827180 | 0.749396 |
| 348 | 0.529379 | 0.005375 | -0.246596 | 0.551731 | -0.203506 | -0.115657 | -0.084117 | 0.400511 | 0.020006 | 0.802100 | 0.673866 | 0.738513 | 1.013266 | -0.180975 | -0.130952 | 0.167180 | -1.161313 | 0.021717 | -0.062502 | 0.146700 | 0.281493 | -1.030083 | 0.124327 | 0.034648 | 0.714025 | 0.406000 | -0.716083 | -0.181093 | 1.149999 | 0.329187 | 0.477032 | 1.313592 | 0.037531 | -0.114165 | -0.546174 | 0.914359 | -0.971988 | 0.470658 | 0.031432 | 1.102205 | 0.079916 | -0.258996 | -0.250902 | 0.144346 | -0.215833 | 1.330019 | 0.406490 | -0.045508 | 0.338739 | 0.350012 | -0.396663 | -0.663009 | 0.608879 | 0.083210 | -0.824451 | 0.749396 |
| 349 | 1.057917 | 3.011353 | -0.246596 | 0.181308 | 0.490102 | 1.227207 | -0.084117 | 1.460680 | -0.106195 | -0.516352 | -0.237545 | -0.282872 | 2.648425 | -0.198019 | -0.130952 | -0.147491 | -0.076250 | 2.320448 | -0.498850 | -0.581181 | -0.082106 | -0.355560 | -0.046154 | 0.271258 | 0.285464 | -0.555374 | -0.733318 | 0.624506 | -1.938539 | 0.240955 | -0.603792 | 1.199001 | -0.217917 | -0.114165 | 2.342206 | 4.000508 | -0.095914 | 0.227301 | -0.427051 | 1.102205 | -0.420340 | 0.022160 | 0.200382 | -0.379963 | 0.198942 | -0.237262 | -0.480085 | -0.065843 | -0.239782 | -0.502132 | -0.026595 | -0.693543 | -0.705318 | 0.963832 | 1.301265 | -1.334408 |
| 350 | -0.502123 | -0.200629 | -0.182220 | -0.222978 | -0.203506 | -1.162131 | 0.104619 | -1.739376 | -0.047802 | -0.032024 | 0.572598 | 0.216601 | -0.998214 | -0.245704 | 0.940805 | -0.389414 | 0.248347 | -0.726613 | -0.525034 | 0.566631 | -0.166308 | 0.488620 | 0.854021 | 0.045403 | -1.327523 | 2.073480 | 0.624338 | 0.140015 | -0.479387 | -0.593165 | -1.230896 | -0.735607 | -0.217917 | -0.114165 | 2.233949 | 0.165318 | -1.318767 | -0.601780 | -0.427051 | 1.102205 | 1.542204 | -0.281499 | 0.123993 | -0.379963 | -0.305269 | 0.628721 | -0.480085 | -0.055109 | -0.213284 | 0.452519 | -0.396663 | 0.745757 | 0.448702 | -1.059084 | 1.301265 | -1.334408 |
| 351 | -0.502123 | -0.862642 | -0.246596 | -0.287767 | -0.150701 | 0.679133 | -0.084117 | -1.739376 | -0.106195 | 0.114524 | 0.471331 | 0.023545 | -0.468192 | 0.116408 | -0.130952 | 0.019061 | 1.413482 | -0.236199 | -0.671883 | -0.917126 | -0.001732 | -1.302168 | 0.401171 | 2.303951 | -1.327523 | -0.370659 | 2.484496 | -0.181093 | -0.941452 | 0.937664 | -0.736515 | -0.542236 | -0.210929 | -0.114165 | -0.087470 | 0.027304 | -0.696186 | -0.189690 | -0.408210 | 1.102205 | -0.420340 | 0.130024 | -0.094823 | -0.292062 | -0.517690 | 0.754547 | 0.125851 | -0.065843 | -0.239782 | 1.210179 | 1.491475 | 1.550122 | -1.134072 | 1.400909 | -0.818116 | 0.749396 |
| 352 | -0.365726 | 0.119300 | -0.073727 | -0.453369 | -0.203506 | 1.126203 | -0.084117 | 0.962927 | -0.106195 | 0.643328 | 0.876402 | 0.249078 | -0.382681 | -0.124410 | -0.130952 | -0.323488 | 1.721559 | 0.104964 | -0.449201 | 0.370663 | -0.166308 | -0.080695 | 0.006567 | 1.249962 | 0.761136 | -0.029332 | 0.391243 | -0.181093 | -0.430749 | 0.013067 | 0.234137 | 0.373592 | -0.217917 | -0.114165 | -0.276333 | -0.279730 | 0.220447 | -0.151338 | -0.427051 | -0.545353 | -0.166518 | -0.064821 | -0.412895 | -0.379963 | -0.048083 | -0.326081 | -0.480085 | -0.043863 | -0.014556 | 0.270681 | -0.396663 | 1.573674 | 0.272507 | -0.895430 | 1.301265 | -1.334408 |
| 353 | -0.425400 | -1.160537 | 0.184827 | -0.316534 | -0.203506 | -0.291173 | -0.043674 | 1.654668 | -0.106195 | -0.166640 | -0.440081 | -0.262773 | -0.970020 | -0.208600 | -0.130952 | 2.404642 | -0.011504 | -0.135411 | -0.410420 | -0.273231 | 0.051851 | 0.598460 | -0.646348 | 1.077882 | -1.327523 | 0.107702 | -0.679209 | -0.181093 | -0.236195 | 0.144039 | -0.112417 | -0.568198 | -0.217917 | -0.114165 | -0.744913 | -0.186099 | -0.091858 | -0.106566 | -0.427051 | 1.102205 | -0.420340 | 0.012300 | -0.405059 | -0.379963 | -0.294788 | 1.004350 | -0.480085 | -0.065843 | -0.239782 | -0.500349 | -0.396663 | 0.801103 | -0.093666 | -0.409502 | 1.301265 | -1.334408 |
| 354 | -0.382776 | -0.603099 | -0.246596 | -0.433198 | -0.203506 | -0.685257 | -0.084117 | -0.085212 | -0.106195 | -0.369383 | 1.281474 | -0.457329 | -0.776972 | -0.070817 | 0.283219 | -0.156412 | 0.352823 | -0.488467 | -0.795142 | 0.286677 | -0.166308 | -0.079372 | -0.407376 | -1.890495 | -0.789780 | -0.817523 | 0.030436 | -0.181093 | -0.698260 | -0.986462 | -0.834875 | 0.495345 | -0.139109 | -0.114165 | -0.183506 | -0.698026 | 0.755825 | -0.127167 | -0.232353 | -0.720383 | -0.420340 | -0.304459 | -0.077475 | -0.206019 | -0.539865 | 0.160572 | -0.067228 | -0.049060 | -0.200036 | -0.672382 | -0.396663 | -0.705032 | 1.270447 | -0.982922 | -0.821280 | 0.749396 |
| 355 | -0.693932 | 0.644535 | -0.246596 | -0.465981 | -0.203506 | -0.865741 | -0.084117 | -0.648379 | -0.106195 | -0.063994 | -0.743885 | -0.380150 | -0.645537 | -0.091876 | -0.130952 | -0.158708 | 0.047492 | -0.785704 | -0.383495 | -0.553185 | -0.166308 | -0.436418 | -0.375605 | -0.519234 | -1.327523 | -1.089170 | -0.744958 | -0.181093 | -0.211876 | -0.799619 | -0.154152 | -1.741406 | -0.174048 | -0.114165 | -0.728495 | -0.466990 | -0.467028 | -0.278002 | -0.169547 | 1.102205 | -0.420340 | 0.084068 | -0.389535 | -0.070453 | -0.172170 | 0.115237 | -0.089475 | -0.052873 | -0.239782 | 0.714135 | -0.396663 | -0.764858 | -0.650933 | -0.653095 | -0.806205 | 0.749396 |
| 356 | -0.710981 | 0.427085 | -0.246596 | -0.398125 | -0.203506 | 0.344659 | -0.084117 | 1.299775 | -0.038342 | -0.351114 | 0.066259 | -0.037206 | -0.763396 | -0.118883 | -0.130952 | 0.083019 | 0.387995 | -0.248240 | -0.715357 | -0.259234 | -0.166308 | 0.870942 | -0.260723 | 0.540133 | -1.327523 | -0.394209 | -0.696813 | -0.181093 | 0.760892 | -0.090096 | 0.391557 | 0.324354 | -0.217917 | -0.043172 | 1.185570 | 0.042504 | -0.714438 | -0.215073 | -0.427051 | 1.102205 | -0.420340 | 0.146628 | -0.354593 | -0.379963 | -0.162105 | 2.524446 | -0.480085 | -0.048983 | -0.239782 | 0.179316 | 0.062511 | -0.501507 | 0.183478 | 0.529448 | 1.301265 | -1.334408 |
| 357 | -0.323102 | -0.155585 | -0.246596 | -0.407671 | -0.203506 | -0.562727 | -0.084117 | -0.040098 | -0.106195 | -0.774135 | -0.136277 | -0.250902 | -0.901831 | -0.006058 | -0.130952 | -0.148278 | 0.778204 | -0.373706 | -0.416348 | -0.301227 | -0.166308 | 0.502118 | -0.868284 | -0.336399 | 0.811847 | 0.457751 | 0.243005 | -0.181093 | 0.128593 | -0.238372 | -0.488501 | -0.817074 | -0.217917 | -0.114165 | -0.149930 | -0.698026 | -0.416329 | -0.320920 | -0.427051 | -1.164401 | -0.239325 | -0.289880 | -0.098223 | -0.379963 | -0.472404 | -0.975568 | -0.480085 | -0.065843 | -0.239782 | -1.028036 | 0.129779 | 0.035250 | -0.129053 | -0.065478 | 1.301265 | -1.334408 |
| 358 | 0.384457 | -0.991587 | 0.090214 | -0.329621 | 0.085354 | -0.367341 | 0.200212 | 0.481716 | 0.016520 | -0.036718 | -1.351492 | -0.042733 | -1.019591 | -0.138448 | 0.080460 | -0.075268 | 0.026189 | -0.563984 | -0.303833 | -0.637172 | 0.166672 | -1.111073 | 2.184255 | -1.890495 | 1.254305 | -0.375214 | 0.270517 | 0.354975 | -1.622390 | 0.787165 | -1.392612 | -0.935245 | -0.208988 | -0.114165 | -1.230774 | 0.370210 | 0.745685 | 0.153884 | -0.219792 | 1.102205 | 3.411854 | 0.010469 | -0.079791 | 0.177154 | -0.378782 | -1.334544 | -0.091577 | -0.003895 | -0.239782 | -0.181241 | -0.396663 | 0.095786 | -1.866416 | -0.765555 | -0.734494 | 0.749396 |
| 359 | 0.478230 | 1.818276 | 0.013383 | 0.187312 | -0.203506 | -0.385555 | -0.084117 | 0.125318 | 1.422570 | -0.408805 | -0.035009 | -0.427763 | -0.661113 | 0.265379 | 0.064064 | 0.099090 | -0.124606 | 0.047583 | -0.529356 | -0.581181 | -0.093588 | -0.745690 | -0.332553 | 0.454093 | -1.327523 | -1.640119 | -0.916630 | 0.141513 | -0.309153 | 0.056188 | 0.112868 | -2.596806 | -0.118727 | -0.114165 | 0.487762 | 0.286307 | -0.951708 | -0.287578 | -0.232353 | 0.114348 | 0.222682 | -0.052003 | 1.775661 | -0.223351 | 0.311264 | -0.404722 | -0.056080 | 0.542591 | -0.200036 | -0.109040 | 0.339648 | -0.774141 | -0.669931 | -0.110727 | -0.823575 | 0.749396 |
| 360 | -0.331627 | -0.750290 | 0.212363 | -0.413113 | -0.203506 | -0.234876 | -0.084117 | 0.424572 | -0.106195 | -0.187129 | -0.541349 | -0.728401 | -0.675970 | 0.005799 | -0.130952 | -0.437169 | 0.190855 | -0.617500 | 0.160428 | -0.329222 | -0.085934 | 0.551877 | -0.510746 | -0.363287 | 0.760676 | -1.055250 | -0.513763 | 1.416462 | -0.406430 | -0.607143 | -0.760138 | 0.166793 | -0.217917 | -0.114165 | 0.049055 | -0.698026 | 2.400492 | -0.297412 | -0.427051 | 1.102205 | -0.420340 | 0.086040 | 2.694246 | -0.379963 | -0.066642 | -0.316829 | -0.480085 | -0.065843 | -0.213284 | 0.069233 | -0.396663 | -0.551984 | 0.157030 | -0.975299 | 1.301265 | -1.334408 |
| 361 | 0.034940 | 0.471773 | -0.246596 | -0.198401 | -0.203506 | -0.105722 | -0.084117 | 0.493746 | -0.041556 | -0.370638 | 1.382742 | 0.406546 | -0.636397 | -0.092445 | -0.130952 | 0.098041 | -0.041102 | -0.041610 | -0.830095 | 0.342668 | -0.105070 | -0.166185 | 0.315297 | 0.066913 | 0.862981 | -0.536380 | -0.381861 | -0.181093 | 0.274508 | 0.503619 | 0.470804 | 1.495325 | -0.217917 | -0.114165 | 0.493194 | -0.020727 | 0.041987 | -0.046204 | -0.427051 | 1.102205 | -0.420340 | -0.038656 | 0.284212 | -0.379963 | -0.420955 | 0.197580 | -0.480085 | -0.031871 | -0.239782 | 0.232352 | -0.184849 | 0.878685 | 0.671087 | 1.431332 | 1.301265 | -1.334408 |
| 362 | -0.365726 | -0.361731 | -0.246596 | -0.413070 | -0.203506 | -0.721685 | -0.084117 | -1.739376 | -0.106195 | -0.056613 | -0.237545 | -0.371766 | -0.368485 | -0.237944 | -0.130952 | -0.437169 | -0.201034 | -0.588661 | -0.381025 | -0.329222 | -0.166308 | -0.300111 | -0.776655 | -0.180452 | -1.327523 | 0.511441 | 1.704434 | -0.181093 | -0.868494 | -0.601806 | -0.500706 | -0.930769 | -0.217917 | -0.114165 | -0.022540 | -0.698026 | -0.663739 | -0.292602 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | -0.212215 | -0.379963 | -0.323926 | 0.138367 | -0.480085 | -0.055632 | -0.133793 | -0.604638 | -0.396663 | 0.047059 | 0.371221 | -0.980824 | 1.301265 | -1.334408 |
| 363 | -0.433925 | -0.266775 | -0.246596 | -0.415359 | -0.203506 | -0.739899 | -0.084117 | 0.478708 | -0.106195 | 0.727170 | -1.452760 | -0.025700 | 0.100360 | -0.154177 | -0.130952 | 0.199028 | 0.462718 | -0.640467 | 0.241695 | -0.469199 | -0.166308 | 0.081153 | -0.539064 | -0.519234 | 0.896457 | -0.717994 | -0.943597 | -0.181093 | 0.213710 | -0.799619 | -0.170975 | -1.386892 | -0.096405 | -0.114165 | -0.595427 | -0.065718 | -0.296680 | -0.064545 | 0.320339 | 1.102205 | -0.228396 | -0.040452 | -0.365928 | 0.500902 | -0.316636 | 1.320767 | 0.135125 | -0.042227 | -0.120545 | -0.897006 | -0.396663 | -0.714551 | -0.134455 | -0.682399 | -0.805071 | 0.749396 |
| 364 | -0.246379 | -0.426775 | -0.161587 | -0.345084 | -0.203506 | 1.126203 | -0.084117 | 1.367445 | -0.050699 | -0.013609 | 0.876402 | -0.070908 | 0.138187 | 0.069801 | -0.130952 | -0.196098 | 0.870513 | -0.477170 | -0.463774 | -0.161250 | -0.105070 | 0.800406 | -0.154935 | -0.083657 | 0.844875 | 2.056617 | 0.733484 | 0.098587 | 1.247276 | -0.074466 | 0.642256 | -0.784845 | 0.034619 | -0.114165 | -0.255102 | -0.240818 | 0.956592 | -0.004753 | 0.621808 | 1.102205 | -0.420340 | -0.278171 | -0.315857 | 0.577660 | 0.062387 | 3.628204 | 0.207531 | -0.050652 | -0.023388 | -0.236505 | -0.396663 | -0.429295 | 1.831440 | 0.676773 | -0.813973 | 0.749396 |
| 365 | 0.069039 | 0.156766 | -0.246596 | -0.198012 | -0.203506 | 0.897700 | -0.084117 | -0.805525 | -0.106195 | 0.242586 | -0.946420 | -0.435728 | -0.120650 | -0.017564 | -0.130952 | -0.437169 | 0.902786 | -0.039231 | 0.775613 | -0.273231 | -0.166308 | 0.608782 | 0.165191 | 3.562285 | -1.327523 | -1.455306 | 0.992950 | 0.128036 | 0.663615 | -0.183009 | -0.378578 | 0.002069 | -0.068259 | -0.114165 | -0.205232 | -0.698026 | 0.074434 | -0.028468 | -0.018813 | -0.114908 | -0.398945 | -0.255721 | -0.126216 | -0.069834 | -0.367858 | -0.104034 | -0.020120 | -0.059784 | 0.179756 | -0.866699 | -0.396663 | -0.650607 | 1.243254 | -0.505526 | -0.820255 | 0.749396 |
| 366 | -0.289003 | 0.007215 | -0.246596 | -0.398427 | -0.203506 | -0.628959 | -0.074312 | -0.008519 | -0.064460 | -0.373872 | 0.977670 | -0.407906 | -0.315252 | -0.168303 | -0.130952 | 0.169542 | 0.022473 | -0.118762 | -0.456611 | -0.343220 | -0.166308 | 0.171540 | -0.237470 | 0.115310 | 1.040668 | 0.456201 | -0.141417 | -0.181093 | 0.067795 | -0.671104 | 0.234924 | -0.402131 | -0.217917 | -0.114165 | -0.405699 | 0.367170 | -0.714438 | -0.151076 | -0.427051 | 1.102205 | 0.342512 | -0.304459 | -0.291117 | -0.379963 | -0.240995 | -0.662852 | -0.480085 | -0.051412 | -0.054302 | -0.539569 | 0.265877 | 1.012807 | -0.232982 | -0.860391 | 1.301265 | -1.334408 |
| 367 | -0.297528 | -0.430109 | -0.246596 | -0.220732 | -0.203506 | -0.695192 | -0.084117 | -0.013030 | -0.106195 | -0.319719 | 0.268795 | -0.500904 | -0.951909 | -0.062326 | -0.130952 | -0.317453 | -0.149625 | -0.175697 | -0.712517 | -0.581181 | -0.166308 | -0.439594 | -0.400239 | -0.879526 | -1.327523 | -0.046873 | -0.166578 | -0.181093 | -0.382110 | -0.668139 | -0.460546 | -1.021188 | 0.966342 | -0.114165 | -0.242511 | -0.698026 | -0.008712 | -0.278488 | 2.367814 | -1.344370 | -0.420340 | -0.304459 | -0.184321 | 0.923073 | -0.654943 | -0.098483 | 0.277541 | -0.062460 | -0.239782 | -0.366644 | -0.396663 | -0.614291 | 0.047141 | -0.106671 | -0.822000 | 0.749396 |
| 368 | -0.536223 | -0.403471 | -0.246596 | -0.436956 | -0.203506 | -0.582597 | -0.084117 | 0.444121 | -0.106195 | -0.070191 | -3.174315 | -0.411613 | -0.899240 | -0.112486 | -0.130952 | -0.395186 | -0.198312 | -0.176440 | 0.286157 | -0.973116 | -0.166308 | 0.384603 | -0.273155 | 0.013138 | -1.327523 | 0.202483 | -0.839912 | -0.181093 | 0.955445 | -0.141710 | -0.485744 | 0.691402 | -0.217917 | -0.114165 | -0.522720 | -0.698026 | -0.329128 | -0.472092 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | -0.367604 | -0.379963 | -0.141856 | 0.282698 | -0.480085 | -0.065843 | 0.475641 | 0.079929 | -0.396663 | 0.530876 | -0.295191 | 0.841126 | 1.301265 | -1.334408 |
| 369 | -0.536223 | 0.644072 | -0.246596 | -0.448834 | -0.203506 | -0.489871 | -0.084117 | 0.185470 | -0.106195 | -0.014732 | -0.035009 | 8.489001 | -0.503089 | -0.321829 | -0.130952 | -0.289312 | -0.461926 | -0.359583 | -0.235534 | -0.469199 | -0.166308 | 0.344107 | -1.506004 | 0.066913 | 0.285016 | -0.024971 | -0.431350 | -0.181093 | 0.274508 | -0.130697 | 1.426136 | -0.313055 | -0.150755 | -0.114165 | -1.094249 | -0.542381 | -0.720522 | -0.194090 | -0.056496 | -0.669935 | -0.109412 | -0.162384 | -0.345722 | 0.005067 | 0.123841 | -0.392695 | -0.067048 | -0.065843 | 0.078184 | -1.022688 | -0.171428 | -0.629519 | 0.217749 | -0.197310 | -0.807817 | 0.749396 |
| 370 | -0.007684 | 0.707819 | -0.246596 | -0.068001 | -0.203506 | 0.109533 | -0.084117 | -1.739376 | -0.056584 | -0.462174 | -0.338813 | 0.203164 | 2.648425 | -0.170482 | -0.130952 | -0.044699 | -1.084909 | 1.059926 | -0.529727 | -0.217240 | -0.166308 | 0.494972 | 0.028438 | 0.454093 | 0.635217 | 0.807994 | -0.891926 | -0.181093 | -0.333472 | -0.544580 | -0.824424 | 2.059325 | 0.574242 | -0.114165 | -0.393108 | -0.531437 | 0.173804 | -0.002704 | 0.408268 | -0.006259 | -0.420340 | -0.088309 | -0.360803 | 0.872313 | 3.532399 | 1.124625 | 1.531241 | -0.056155 | 0.064935 | 0.194024 | -0.396663 | -0.646281 | 1.107290 | -0.877526 | -0.827804 | 0.749396 |
| 371 | -0.578847 | -0.425062 | -0.246596 | -0.477946 | -0.203506 | -0.271304 | -0.084117 | -0.613040 | -0.106195 | -0.381235 | 0.471331 | -0.504147 | -0.621188 | -0.161963 | -0.130952 | -0.193934 | -0.099612 | -0.343380 | -0.206881 | -1.225075 | -0.166308 | 0.000295 | -0.604217 | 0.368053 | -1.327523 | 0.386036 | -0.986013 | -0.181093 | -0.163238 | 0.125698 | 0.321974 | 0.079059 | -0.096405 | -0.114165 | -0.777501 | -0.034102 | -0.197311 | -0.315980 | 0.131922 | 1.102205 | -0.420340 | -0.304459 | -0.210046 | 0.091730 | -0.162220 | -0.640647 | -0.032337 | -0.052254 | -0.098464 | 0.303661 | -0.250109 | -0.188005 | -0.197222 | -0.270535 | -0.811937 | 0.749396 |
| 372 | 0.265110 | -0.895543 | -0.184396 | -0.057462 | -0.203506 | 0.414203 | -0.084117 | -0.610033 | 0.242352 | 0.445649 | -0.338813 | -0.145417 | -0.187955 | 0.241830 | -0.130952 | -0.418933 | -0.062227 | 0.950070 | -0.048051 | -0.721158 | 0.078643 | -0.258821 | -0.343719 | 0.593908 | -1.327523 | 0.926712 | -0.379927 | -0.181093 | -1.111686 | -0.530792 | 1.791088 | -1.220826 | 0.272402 | -0.114165 | -0.534570 | -0.555148 | -0.010740 | 0.327871 | 1.413163 | 1.102205 | -0.420340 | -0.285760 | -0.221283 | 0.474284 | -0.405373 | 0.715689 | 0.004986 | -0.032234 | 0.179756 | 0.628118 | -0.047843 | -0.501741 | -1.327029 | -0.905990 | -0.815779 | 0.749396 |
| 373 | -0.578847 | -0.380254 | -0.246596 | -0.389314 | -0.203506 | -0.205071 | -0.073700 | -1.661179 | -0.094155 | -0.316781 | 0.977670 | -0.506707 | -0.528974 | -0.210793 | -0.130952 | -0.120858 | 0.584448 | -0.508536 | -0.357188 | -0.665167 | -0.070624 | -0.953063 | 0.820984 | 0.647682 | 0.733151 | -1.441448 | -0.005834 | -0.181093 | -0.528026 | 0.354369 | 0.529864 | -0.462559 | -0.217917 | -0.114165 | 1.484666 | -0.283378 | -0.475140 | -0.519415 | -0.427051 | 1.102205 | 0.263087 | 0.352935 | -0.405404 | -0.379963 | 0.930608 | -0.087381 | -0.480085 | -0.049859 | -0.239782 | -0.529764 | 6.876010 | -0.104031 | -0.086588 | 0.408981 | 1.301265 | -1.334408 |
| 374 | -0.399826 | -0.328271 | -0.246596 | -0.290402 | -0.203506 | 0.407580 | -0.084117 | 1.089245 | -0.106195 | -0.355478 | -0.541349 | -0.155169 | -0.187239 | -0.195930 | -0.130952 | -0.348284 | -0.254455 | -0.188481 | -0.213797 | 0.818590 | -0.074451 | -1.267761 | -1.506004 | 0.120688 | -1.327523 | 0.959371 | 0.167523 | -0.181093 | -0.382110 | -0.215752 | -0.143844 | -1.109816 | -0.217917 | -0.114165 | 1.852272 | 0.092359 | -0.414302 | -0.017290 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | -0.131686 | -0.379963 | -0.311407 | -1.016277 | -0.480085 | -0.049776 | -0.182371 | -0.511937 | -0.099346 | 0.948443 | -0.820050 | -0.064918 | 1.301265 | -1.334408 |
| 375 | -0.152606 | 0.037808 | -0.246596 | 0.319353 | -0.203506 | 0.361217 | -0.058380 | 0.340360 | -0.106195 | -0.012177 | 0.471331 | -0.332692 | -0.719430 | -0.200071 | -0.130952 | -0.288459 | 0.447830 | 0.650678 | -0.110299 | -0.077263 | -0.166308 | -0.120132 | 0.168414 | 1.389777 | 0.671914 | -1.043039 | -0.481846 | -0.181093 | 0.469061 | 0.597273 | 0.506383 | 0.098754 | -0.217917 | -0.114165 | -0.613079 | 0.567806 | 0.936313 | 0.144620 | -0.427051 | 1.102205 | -0.420340 | 0.224259 | -0.296636 | -0.379963 | -0.409190 | -0.651750 | -0.480085 | -0.051819 | -0.239782 | -0.466477 | 1.489418 | 1.540556 | 1.517045 | 0.972540 | 1.301265 | -1.334408 |
| 376 | -0.101457 | 0.281044 | -0.246596 | 1.103651 | 1.430326 | -0.446820 | -0.079215 | -0.058143 | -0.106195 | -0.013036 | -0.136277 | -0.435508 | 0.455445 | -0.193374 | -0.130952 | -0.434676 | -0.429097 | -0.244970 | -0.024709 | -0.721158 | -0.166308 | -0.916273 | -0.286278 | -0.008372 | 0.805959 | -1.830455 | -0.228036 | 0.951770 | 1.174318 | 0.852101 | -0.280289 | -0.378407 | 0.476217 | -0.114165 | -0.675539 | -0.411055 | -1.316739 | -0.625232 | -0.282598 | 1.102205 | -0.420340 | -0.035804 | -0.334042 | -0.341584 | 0.044002 | -1.069938 | 0.075891 | -0.065843 | -0.129377 | -1.124304 | -0.396663 | -0.201414 | -1.096821 | 1.736191 | -0.831567 | 0.749396 |
| 377 | 0.051989 | -0.455066 | 0.759406 | -0.354111 | -0.203506 | 0.897700 | -0.039384 | 0.938866 | -0.067403 | 0.178524 | -0.035009 | -0.551187 | 1.975237 | -0.134063 | -0.130952 | -0.328539 | -0.959971 | -0.373706 | 1.041647 | -0.385213 | 0.028887 | -0.992235 | 0.348104 | -0.922546 | -1.327523 | 0.237662 | -0.266643 | -0.181093 | 0.736573 | -0.674599 | -2.887210 | 0.400450 | -0.217723 | -0.114165 | -0.058091 | -0.182452 | -0.304792 | -0.088380 | -0.383087 | 1.102205 | -0.226241 | -0.190063 | 0.070669 | -0.379963 | -0.676468 | 0.273446 | -0.468161 | -0.047270 | -0.018972 | -0.770432 | -0.396663 | 0.732678 | -0.225160 | -0.939630 | -0.601852 | 0.749396 |
| 378 | -0.280478 | -0.838315 | -0.246596 | -0.278351 | -0.203506 | -0.814410 | -0.084117 | -0.333336 | -0.106195 | 0.441735 | 1.686546 | -0.291896 | -0.221038 | -0.115719 | -0.130952 | -0.131026 | 0.220276 | -0.291796 | -0.633719 | -0.161250 | 0.143708 | -0.038347 | 0.434783 | -2.202390 | -1.327523 | 0.191435 | 2.434242 | -0.181093 | -0.892814 | -0.986462 | -1.868166 | 0.606354 | -0.207047 | -0.114165 | 0.062140 | -0.698026 | -1.266040 | -0.047855 | -0.420771 | -0.760388 | 0.241537 | -0.304459 | 0.001279 | -0.267921 | -0.267680 | 0.130966 | 1.338231 | -0.055835 | 0.714115 | -0.731212 | -0.396663 | -0.428370 | 1.118465 | -1.079436 | -0.827727 | 0.749396 |
| 379 | 0.231011 | 0.643948 | 0.001828 | 0.000589 | -0.203506 | 1.367951 | -0.084117 | 0.328329 | -0.033272 | -0.013931 | -0.845152 | -0.129509 | 1.779936 | -0.205730 | -0.130952 | -0.324669 | -0.096890 | 0.355151 | -0.295312 | 0.006723 | -0.166308 | -1.823842 | -0.675241 | -0.814996 | 0.672803 | -0.639010 | -0.856972 | -0.181093 | -1.233282 | -0.087131 | 0.440666 | 1.418335 | -0.203165 | -0.114165 | 0.448755 | 1.869509 | -0.907093 | -0.024357 | -0.370526 | -0.500745 | -0.076549 | -0.065842 | 0.004532 | -0.228922 | -0.101903 | -1.210568 | 0.042541 | -0.048765 | -0.239782 | 1.899203 | 0.476830 | -0.781193 | -0.341754 | 1.410910 | -0.814511 | 0.749396 |
| 380 | 0.282159 | 0.626242 | 0.401513 | -0.214901 | 0.403900 | -0.589220 | -0.084117 | 1.489252 | -0.106195 | -0.233397 | -0.946420 | -0.180101 | -0.890339 | 0.178297 | -0.130952 | -0.388036 | 0.490790 | -0.269201 | -0.527010 | -0.777149 | 0.002096 | -0.924213 | 0.761932 | 1.303737 | 0.694645 | -0.606157 | 0.772562 | -0.181093 | 0.566338 | 0.771429 | -0.300548 | 0.035193 | -0.176960 | -0.114165 | -0.064757 | -0.303441 | 1.212114 | 0.302925 | -0.169547 | -0.381911 | -0.420340 | -0.098839 | -0.079052 | -0.043835 | -0.708253 | 0.786004 | -0.072190 | -0.064464 | 0.563965 | -0.119736 | -0.182809 | -0.641629 | 1.204141 | 1.657441 | -0.804369 | 0.749396 |
| 381 | 0.000841 | 0.862452 | 0.695706 | -0.371561 | -0.203506 | 0.642705 | -0.084117 | -0.234086 | -0.011409 | -0.177126 | 1.787814 | -0.526431 | -0.339813 | -0.154719 | -0.130952 | -0.400500 | -1.987364 | -0.259687 | -0.655457 | -0.049268 | -0.024696 | -0.855133 | -0.194879 | 0.217483 | 1.101986 | -0.835355 | -1.056928 | -0.181093 | -0.528026 | -0.365319 | -0.186438 | 0.348526 | 0.138467 | -0.114165 | -0.091173 | 0.068648 | -0.892898 | 0.090444 | -0.043935 | -1.541178 | -0.420340 | -0.210523 | -0.260019 | 0.039732 | -0.321410 | -1.602850 | 0.536269 | -0.043122 | -0.239782 | -0.830153 | -0.396663 | -0.758316 | 0.294112 | -0.403137 | -0.827675 | 0.749396 |
| 382 | -0.203755 | -0.230594 | -0.246596 | -0.078238 | -0.203506 | 0.026743 | -0.084117 | -0.354389 | -0.106195 | -0.431025 | -0.237545 | -0.736189 | 0.513100 | -0.101923 | -0.130952 | -0.345726 | -0.153211 | -0.647529 | 0.649884 | 0.622622 | -0.166308 | -0.626454 | -0.473220 | -0.696691 | -1.327523 | -0.290997 | -0.452332 | -0.181093 | -0.309153 | -0.360363 | -1.106191 | -0.535969 | 0.014238 | -0.114165 | -0.393849 | -0.698026 | -0.945624 | 0.026129 | 0.295217 | -0.256748 | -0.241018 | -0.296817 | -0.343504 | -0.065501 | -0.522188 | -0.002263 | -0.155037 | -0.046573 | -0.213284 | -0.003859 | -0.171077 | -0.550856 | 0.532888 | 0.476610 | -0.818596 | 0.749396 |
| 383 | -0.212280 | -0.531846 | -0.075753 | -0.484252 | -0.203506 | 1.808398 | -0.084117 | 0.200508 | -0.086550 | -0.013169 | -0.440081 | -0.588364 | -0.432072 | -0.261821 | -0.130952 | 0.434949 | 0.346894 | -0.622257 | -0.365957 | -0.469199 | -0.166308 | -0.626057 | -0.230103 | -0.503101 | 1.051263 | -1.024917 | -0.797409 | -0.181093 | 0.347465 | -0.581495 | -0.003032 | -0.680997 | -0.134256 | -0.114165 | 0.077076 | -0.698026 | 1.854974 | 3.367295 | -0.182108 | -0.488502 | -0.420340 | -0.179657 | -0.259723 | -0.150926 | -0.379338 | -0.556454 | -0.047640 | -0.065843 | 0.281329 | 0.055862 | 0.511739 | -0.456785 | 0.113820 | -0.994567 | -0.819276 | 0.749396 |
| 384 | 0.043465 | -0.493424 | -0.017379 | 0.012640 | -0.203506 | -0.453443 | -0.084117 | 0.009527 | -0.106195 | -0.205127 | 0.471331 | -0.173636 | 0.454910 | 0.012020 | -0.130952 | 0.425831 | -1.114152 | 0.232659 | 0.113742 | 0.146700 | -0.166308 | 3.346840 | -0.148834 | -0.664426 | 0.317628 | 1.236736 | -0.583308 | -0.181093 | -0.698260 | -0.374850 | 0.313670 | 0.477440 | -0.193459 | -0.114165 | -0.467172 | -0.531437 | -0.181087 | -0.069368 | -0.219792 | -0.351343 | -0.012901 | -0.167103 | -0.111628 | -0.283396 | -0.404232 | -0.244664 | -0.355132 | -0.041177 | -0.239782 | -1.153719 | 0.073733 | -0.413292 | 1.097232 | -1.279179 | -0.794826 | 0.749396 |
| 385 | 0.333308 | 1.087519 | -0.114318 | 3.195400 | 2.243245 | -0.479936 | -0.084117 | 0.141860 | -0.106195 | -0.139221 | 0.977670 | -0.419313 | 1.151081 | -0.321829 | -0.130952 | -0.420966 | 1.191064 | -0.550457 | -0.740306 | -0.385213 | -0.166308 | -1.483470 | -0.380555 | -0.062147 | -1.327523 | -1.516555 | -1.005330 | 1.542576 | -0.868494 | 1.264755 | -1.089869 | -0.142064 | 0.021031 | -0.114165 | -0.711090 | -0.214067 | -0.982127 | -0.437113 | -0.420771 | 1.102205 | -0.399560 | 1.570881 | -0.131933 | -0.379963 | 1.476864 | -0.720214 | 1.305218 | -0.060534 | -0.200036 | -0.443302 | -0.136279 | -0.744419 | -0.230002 | 2.711893 | -0.832300 | 0.749396 |
| 386 | -0.587372 | 3.468038 | -0.246596 | -0.348842 | -0.203506 | -0.513052 | -0.084117 | 0.520814 | -0.106195 | -0.161930 | -0.338813 | -0.291852 | -0.755059 | -0.006024 | -0.130952 | -0.243066 | -0.037031 | -0.224902 | 0.154252 | -0.581181 | -0.166308 | 2.180155 | 0.355932 | -0.148187 | -0.835535 | -0.439370 | -0.580473 | -0.181093 | 0.712253 | -0.111021 | 0.630301 | 0.280488 | -0.167254 | -0.114165 | -1.095730 | -0.116181 | 0.098770 | -0.035591 | -0.056496 | -0.682749 | -0.159283 | -0.304459 | -0.283823 | -0.115642 | -0.179333 | 0.023643 | -0.231376 | -0.065843 | -0.080799 | 0.829566 | -0.396663 | -0.703552 | 0.414059 | -0.249694 | -0.799890 | 0.749396 |
| 387 | 0.043465 | 0.627629 | -0.089333 | -0.306686 | -0.203506 | 2.123002 | -0.084117 | 0.913302 | -0.106195 | 0.682269 | -0.440081 | -0.378650 | -0.664372 | 0.650413 | -0.130952 | -0.420933 | 3.280003 | -0.003108 | 0.306412 | 0.146700 | -0.061056 | -0.429007 | 0.494757 | 0.454093 | -1.327523 | -0.305824 | -0.592993 | 0.116556 | 0.785211 | 0.242734 | 1.678553 | -0.029265 | -0.166284 | -0.114165 | 1.009915 | -0.209203 | 0.827817 | -0.442451 | -0.307720 | 0.641077 | -0.420340 | -0.111622 | -0.182891 | -0.288348 | -0.401562 | -0.063325 | -0.163162 | -0.065843 | 0.095849 | 0.113355 | 1.020520 | -0.781193 | 0.824559 | 0.522140 | -0.821853 | 0.749396 |
| 388 | -0.399826 | -0.740828 | -0.246596 | -0.377090 | -0.203506 | 0.202259 | -0.084117 | 2.910329 | -0.106195 | 0.447530 | -1.250224 | -0.318240 | 2.382034 | -0.043736 | -0.130952 | 0.477522 | -0.987250 | -0.455763 | 0.234778 | -1.001112 | 0.013578 | 0.842490 | -0.165871 | -0.427817 | 0.623130 | 0.505529 | -0.564031 | -0.181093 | 1.782298 | -0.353014 | -0.082422 | 0.472069 | -0.089611 | 1.165730 | -0.556790 | -0.178804 | 0.987011 | -0.034748 | 0.169605 | -0.832440 | -0.420340 | -0.283048 | -0.381157 | 0.377717 | -0.431040 | 0.554705 | 0.205115 | -0.055835 | -0.160290 | 0.314358 | -0.005824 | -0.271245 | 2.229647 | -0.127862 | -0.811720 | 0.749396 |
| 389 | 0.282159 | 0.353387 | -0.172391 | -0.133698 | 0.703036 | 0.914259 | -0.084117 | -1.417566 | 0.021998 | -0.614120 | -0.440081 | -0.661129 | 1.167107 | -0.233165 | -0.130952 | -0.437169 | -0.652096 | 0.537997 | -0.425858 | -0.581181 | -0.040005 | -1.746557 | -0.619872 | 0.669192 | -1.327523 | -1.750308 | -0.939816 | 0.486080 | -0.138918 | 0.901702 | -0.738591 | -0.964788 | -0.217917 | -0.114165 | 0.882031 | 0.064392 | -0.937512 | -0.479893 | -0.427051 | 1.102205 | -0.225471 | -0.242727 | -0.197528 | -0.379963 | 0.003849 | -0.179900 | -0.480085 | -0.050367 | -0.239782 | -1.154610 | -0.396663 | -0.396485 | 1.019006 | -0.075898 | 1.301265 | -1.334408 |
| 390 | -0.203755 | -0.051880 | -0.092559 | 0.029053 | -0.203506 | 0.039989 | -0.044899 | 0.844128 | -0.082204 | 0.046857 | -1.250224 | -0.193581 | -0.591191 | -0.203428 | 0.458947 | -0.229487 | 0.608118 | 0.177805 | -0.589998 | 0.426654 | 0.166672 | -0.568755 | 1.246438 | 0.056158 | -0.341583 | -0.976751 | -0.559893 | -0.021537 | -0.941452 | 0.069192 | -0.553251 | 0.179326 | -0.216752 | -0.114165 | -0.511364 | -0.571564 | -0.434581 | -0.227067 | -0.018813 | -0.443739 | 1.307699 | -0.299899 | 0.379279 | 0.072540 | 0.201615 | 1.082066 | -0.420072 | -0.065843 | 0.162092 | 0.505110 | -0.396663 | -0.718272 | 0.383141 | 0.246725 | 0.119026 | 0.749396 |
| 391 | -0.331627 | 1.633562 | -0.246596 | -0.249800 | -0.203506 | 0.212194 | -0.084117 | 4.654721 | -0.046580 | -0.131684 | 0.977670 | 0.138717 | 0.691868 | -0.180246 | -0.130952 | 0.036576 | 0.472186 | 0.131425 | -0.741911 | 0.006723 | -0.166308 | -0.118279 | -0.626549 | 0.583153 | 0.731354 | 0.389040 | 0.239741 | -0.181093 | 0.323146 | 0.002626 | 0.345598 | 0.115764 | 0.569389 | -0.114165 | -0.632582 | -0.034710 | -0.254094 | 0.091740 | 1.501091 | -0.816214 | -0.420340 | -0.304459 | 0.085060 | 1.161395 | -0.206124 | -0.427852 | 0.580973 | -0.045600 | -0.208868 | 3.316471 | -0.396663 | -0.125861 | -0.615545 | 2.868344 | -0.821596 | 0.749396 |
| 392 | -0.425400 | -1.005752 | -0.246596 | -0.394281 | 0.022844 | 0.033366 | 0.015153 | -1.739376 | -0.081933 | -0.165505 | 0.876402 | 0.803071 | -0.975287 | -0.269736 | 0.007083 | -0.020691 | -1.552208 | 0.182116 | -0.710046 | -0.329222 | -0.166308 | -0.607662 | 0.138140 | 0.142198 | -1.327523 | 0.322849 | -0.439571 | -0.181093 | -0.284834 | -0.078702 | -0.683540 | 0.106812 | 0.575213 | -0.114165 | -0.189431 | -0.005527 | -0.473112 | -0.219171 | 0.646930 | -0.798447 | 1.092127 | -0.191612 | -0.319602 | 2.040403 | -0.329160 | -0.784978 | 2.523266 | -0.055182 | -0.239782 | 0.180653 | -0.396663 | -0.529610 | -0.812600 | -0.137514 | -0.826470 | 0.749396 |
| 393 | -0.348677 | -0.857576 | -0.157460 | 1.021628 | -0.203506 | -0.635583 | -0.084117 | -0.516798 | -0.106195 | 0.234167 | -1.554028 | -0.386372 | 0.546674 | 0.119525 | -0.130952 | -0.283736 | 0.840075 | 0.095748 | -0.229112 | 0.538635 | -0.085934 | 0.156453 | -0.643240 | -0.578386 | 0.731746 | -0.256593 | -0.650246 | -0.181093 | 0.760892 | -0.598248 | 0.748133 | 1.840887 | -0.217723 | -0.114165 | -0.808361 | -0.530221 | -0.402134 | -0.293615 | -0.370526 | -1.345214 | -0.420340 | -0.147488 | -0.465726 | -0.376249 | -0.416830 | 0.156871 | -0.471142 | -0.065843 | -0.098464 | -0.726755 | -0.396663 | -0.544164 | -0.446428 | -0.785907 | -0.544182 | 0.749396 |
| 394 | -0.297528 | -0.741674 | 0.009482 | -0.365298 | -0.203506 | -0.065983 | -0.084117 | -0.103257 | -0.106195 | 0.404031 | -0.541349 | -0.220499 | 0.302477 | -0.220881 | -0.130952 | -0.198066 | 0.022473 | -0.685287 | -0.308650 | 0.202691 | -0.166308 | 0.013793 | -0.011621 | 0.045403 | 0.923292 | -0.130121 | -0.004652 | -0.181093 | 0.639296 | -0.094396 | -0.373496 | -0.065074 | -0.217917 | -0.114165 | 3.571055 | -0.414703 | 0.433381 | -0.428932 | -0.427051 | 1.102205 | 0.426709 | -0.294211 | -0.392196 | -0.379963 | -0.350415 | 1.170885 | -0.480085 | -0.065843 | 0.104681 | 0.569288 | -0.396663 | -0.171811 | 2.114916 | 0.727058 | 1.301265 | -1.334408 |
| 395 | -0.280478 | 0.001800 | -0.126098 | -0.123720 | 1.060401 | 0.851338 | -0.084117 | -0.688230 | -0.106195 | 0.265906 | -0.338813 | -0.327330 | 0.679007 | -0.041704 | -0.130952 | -0.350646 | -0.162501 | 0.707316 | -0.751421 | -0.385213 | -0.105070 | -0.150305 | 0.139176 | 3.390205 | 0.684796 | 0.856062 | 1.504183 | 0.293082 | 1.271595 | 0.288650 | -0.564920 | 0.677973 | -0.131344 | -0.114165 | -0.357310 | 0.599421 | 0.139329 | 0.542685 | 0.056555 | 0.079268 | -0.134502 | -0.209554 | -0.262533 | 0.135680 | -0.184012 | -0.505569 | -0.004260 | -0.065843 | -0.239782 | -0.456672 | -0.122236 | -0.377708 | -1.537867 | 0.677472 | -0.807543 | 0.749396 |
| 396 | 0.350358 | 4.102326 | -0.246596 | 1.794522 | 1.314724 | 0.278426 | -0.084117 | 0.119303 | -0.106195 | 0.119014 | 1.078938 | -0.241228 | 1.309062 | -0.321829 | -0.130952 | -0.416637 | -0.495548 | 0.012798 | 0.559724 | 0.258681 | -0.166308 | -0.534612 | -0.316092 | -0.341777 | 0.803603 | -1.893545 | -0.840402 | 0.834641 | 0.298827 | 3.284293 | 0.320543 | 0.019974 | 0.612093 | -0.114165 | 0.012517 | -0.173940 | -0.164864 | -0.293699 | -0.119302 | 1.102205 | -0.420340 | -0.152189 | -0.330839 | -0.165163 | 0.299155 | 1.028405 | 0.568627 | -0.049210 | -0.239782 | 0.127617 | -0.270943 | -0.356434 | 0.884532 | 1.338175 | -0.830849 | 0.749396 |
| 397 | -0.306053 | 0.405537 | -0.246596 | -0.439806 | -0.203506 | 0.061515 | -0.027741 | -0.089723 | -0.106195 | -0.067346 | 1.180206 | -0.588143 | 0.247582 | -0.194951 | -0.130952 | 2.102763 | -0.399854 | 0.043644 | -0.274068 | -0.413208 | -0.166308 | 0.056406 | -0.249442 | 0.981087 | -1.327523 | -0.299525 | -0.540240 | -0.181093 | -0.211876 | -0.200969 | 1.334003 | 0.599192 | -0.217723 | -0.114165 | -1.114617 | 0.744123 | -0.270317 | 0.311259 | 0.031432 | 0.062119 | -0.420340 | -0.304459 | -0.408114 | 0.155489 | 0.573000 | 1.125550 | -0.440115 | -0.052457 | 0.091433 | -0.702688 | 1.192197 | -0.453992 | -0.780937 | 0.309284 | 1.301265 | 0.749396 |
| 398 | -0.263429 | -0.097548 | -0.246596 | -0.153178 | -0.203506 | -0.579285 | -0.084117 | -0.582965 | -0.075324 | 0.313547 | -0.237545 | -0.477230 | 0.581594 | -0.126838 | -0.130952 | 0.302245 | 0.637207 | 0.059030 | 0.276277 | 0.230686 | -0.166308 | 1.064816 | -0.440988 | 0.174463 | 1.104448 | 1.278990 | -0.550208 | -0.181093 | -0.357791 | -0.186356 | 0.078363 | 0.394183 | -0.132315 | -0.114165 | -1.048823 | 0.307587 | -0.858422 | 0.676898 | -0.295159 | -0.361294 | -0.420340 | 0.062587 | -0.264110 | -0.266063 | -0.576365 | 0.439981 | -0.036606 | -0.054403 | -0.239782 | -0.367536 | 0.141830 | -0.532697 | -0.170402 | 0.083770 | -0.825405 | 0.749396 |
| 399 | 0.384457 | 1.014514 | -0.172316 | -0.458552 | -0.203506 | 0.351282 | -0.084117 | -0.273185 | -0.106195 | -0.390280 | -0.237545 | -0.465801 | -0.189473 | -0.034369 | -0.130952 | -0.329327 | 0.275046 | -0.058110 | -0.166371 | 0.286677 | -0.166308 | 1.818874 | -0.721056 | -1.492561 | -1.327523 | -0.228003 | -0.317327 | -0.181093 | -1.476474 | -0.752919 | -0.222447 | 0.600088 | -0.051371 | -0.114165 | 0.350003 | -0.595276 | 1.544697 | 1.417398 | -0.420771 | -0.708297 | -0.420340 | -0.301800 | -0.290969 | -0.127403 | -0.415642 | -0.633246 | 0.021401 | -0.065843 | 0.193005 | 1.555136 | 0.114923 | -0.681475 | -0.010224 | -1.129861 | -0.445624 | 0.749396 |
| 400 | 0.282159 | 1.338986 | -0.246596 | 0.045337 | -0.203506 | 0.728808 | -0.084117 | 1.376468 | -0.106195 | 0.109568 | -0.237545 | 0.342606 | -0.848175 | 0.269545 | 0.156336 | -0.429559 | -0.249035 | -0.014852 | -0.322483 | 0.006723 | -0.166308 | 0.052701 | 0.182688 | 2.465276 | -0.023440 | 1.184597 | -0.467445 | -0.181093 | 0.736573 | -0.325841 | 1.359273 | 0.379859 | 0.038501 | -0.114165 | 0.010048 | 0.165318 | -0.394022 | 0.312712 | 0.358023 | 1.102205 | -0.420340 | -0.169163 | 0.774725 | -0.083453 | -0.514410 | 0.952539 | -0.183364 | -0.048402 | 0.117930 | 1.195917 | 0.355270 | -0.352912 | -0.575314 | -0.489790 | -0.818823 | 0.749396 |
| 401 | -0.007684 | 0.944645 | -0.096161 | -0.344911 | -0.203506 | -0.171955 | -0.084117 | 0.645628 | 0.020640 | 0.738710 | 0.572598 | -0.026097 | 0.437222 | -0.072968 | 0.198130 | -0.324079 | 0.557726 | -0.445357 | -0.865418 | -0.133254 | -0.166308 | 0.105900 | -0.213757 | -0.062147 | -1.327523 | 0.647312 | -0.818808 | -0.181093 | -0.163238 | 0.243962 | 0.760160 | 0.398659 | -0.070200 | -0.114165 | -0.773057 | 0.836537 | -0.375771 | 0.336346 | -0.131863 | -0.719273 | -0.420340 | -0.304459 | -0.348285 | -0.114404 | -0.285856 | -0.102184 | 0.069305 | -0.052951 | 0.237167 | -0.105475 | -0.396663 | 0.114559 | 0.910980 | 2.632374 | -0.823487 | 0.749396 |
| 402 | -0.246379 | 0.948859 | -0.246596 | -0.125189 | 0.384491 | 0.417515 | -0.069410 | 0.677208 | -0.081842 | -0.178655 | -0.035009 | 0.084551 | 0.079968 | 0.071215 | -0.130952 | -0.069561 | -0.690676 | 0.263877 | 0.191675 | -0.441204 | -0.059142 | -1.101810 | 0.038913 | 1.024107 | 0.481275 | 0.149763 | 0.267347 | -0.181093 | 1.198637 | 0.486548 | 1.126543 | 1.903553 | 0.164672 | -0.114165 | -0.378542 | 0.428577 | -0.339267 | -0.114909 | 0.182166 | -0.750788 | 0.197207 | -0.170554 | -0.165051 | -0.029598 | 0.428215 | 0.347461 | 0.076142 | -0.048905 | -0.239782 | -0.118845 | 0.204906 | -0.444879 | -1.172440 | -0.558889 | -0.825379 | 0.749396 |
| 403 | 0.026415 | -0.397828 | 0.211537 | 0.126885 | -0.203506 | -0.506429 | -0.084117 | 0.329833 | -0.106195 | 0.059715 | 0.673866 | 0.575265 | 0.020483 | -0.218278 | -0.130952 | -0.053293 | -1.396169 | -0.383665 | -0.441790 | 0.762599 | 1.142648 | -0.110868 | 0.702073 | -0.933301 | 0.691039 | 0.558153 | -0.179729 | -0.181093 | -0.065961 | -0.604601 | -0.646673 | -0.791112 | -0.164343 | 0.788455 | -0.298059 | 0.267460 | 0.171776 | -0.261017 | -0.219792 | -1.279280 | -0.258565 | -0.061757 | -0.040069 | -0.075405 | 0.040100 | 0.943287 | 0.050305 | -0.057848 | -0.186787 | 0.212742 | -0.396663 | 0.607202 | -0.533594 | -0.158215 | -0.815026 | 0.749396 |
| 404 | -0.271953 | -0.403815 | -0.150482 | 0.027110 | -0.203506 | 0.162519 | -0.084117 | -0.217545 | -0.106195 | 0.549020 | 1.180206 | 0.232685 | -0.753764 | -0.161979 | -0.130952 | -0.203117 | -1.149809 | 0.015474 | 0.392126 | 0.118704 | -0.166308 | 0.401542 | -0.660392 | -0.094412 | -1.327523 | -0.403221 | 2.110821 | -0.181093 | -0.017322 | -0.751839 | -0.096095 | 0.058469 | -0.217917 | -0.114165 | -0.680477 | -0.698026 | -0.625208 | -0.237338 | -0.427051 | 1.102205 | -0.420340 | -0.304459 | 0.681186 | -0.379963 | -0.504796 | 0.164273 | -0.480085 | -0.046786 | 0.003109 | -0.791825 | -0.396663 | 0.716168 | 0.539593 | -0.516297 | 1.301265 | -1.334408 |
| 405 | 0.657251 | -0.418577 | 15.475526 | -0.420801 | 17.801752 | -0.589220 | 1.063002 | 1.444138 | 0.575509 | -0.665095 | -0.440081 | 3.389376 | 2.648425 | -0.094560 | 1.319259 | 0.248455 | -0.410695 | -0.170494 | -0.324706 | 13.612489 | 18.256679 | -1.794463 | 14.675744 | 2.519051 | 1.521700 | 6.941794 | 2.017298 | 1.464379 | 2.536193 | 2.065623 | -0.817766 | 0.160526 | -0.217723 | 18.059934 | -0.790339 | 14.791085 | 3.209644 | 0.681100 | -0.131863 | -1.694258 | 15.449485 | 0.048888 | -0.001727 | 0.780698 | -0.217207 | 1.405885 | -0.312890 | -0.043640 | 0.237167 | -0.814109 | 0.395631 | -0.403289 | -1.833636 | -1.171055 | 0.551552 | 0.749396 |
| 406 | -0.408350 | 2.704795 | -0.246596 | 0.162390 | 0.313988 | 0.602966 | -0.051640 | -0.146867 | -0.106195 | -0.174822 | 0.066259 | -0.029054 | 2.648425 | 0.595640 | -0.130952 | -0.048438 | -0.839922 | -0.140019 | 1.026702 | -0.133254 | 0.189636 | -0.939829 | -0.239427 | -0.040637 | -0.327568 | -0.317066 | -0.113167 | 0.550302 | -0.455068 | 0.791571 | 0.614838 | 1.649306 | -0.079905 | -0.114165 | -0.846381 | -0.041398 | -0.434581 | -0.402519 | -0.282598 | 1.102205 | -0.420340 | -0.271991 | -0.412500 | -0.206019 | -0.160463 | -0.535175 | 0.259592 | -0.048542 | -0.239782 | 0.129845 | -0.396663 | -0.191447 | -1.245078 | 2.899117 | -0.827694 | 0.749396 |
| 407 | -0.369989 | 0.374791 | -0.210356 | -0.409010 | -0.203506 | -0.569350 | -0.084117 | -0.091979 | -0.106195 | 0.337477 | 0.066259 | -0.064179 | -0.594233 | -0.117921 | -0.130952 | -0.231062 | -0.208466 | -0.528753 | -0.277156 | 0.272679 | -0.070624 | -0.011880 | -0.464932 | -0.298757 | -0.346004 | -0.617689 | -0.335361 | -0.181093 | 0.335306 | -0.557584 | -0.008651 | -0.466140 | -0.217917 | -0.114165 | 2.582915 | -0.223187 | -0.733704 | -0.245529 | -0.427051 | 1.102205 | 0.024734 | 0.176155 | -0.272931 | -0.379963 | -0.241519 | -0.169723 | -0.480085 | -0.045232 | -0.239782 | -0.261018 | 0.178780 | -0.682481 | 0.334529 | -0.262807 | 1.301265 | -1.334408 |
| 408 | -0.587372 | -0.123021 | -0.246596 | -0.446890 | -0.203506 | -1.026354 | -0.084117 | -0.013030 | -0.106195 | -0.608691 | -0.845152 | -0.353674 | -0.109896 | -0.102740 | -0.130952 | -0.030662 | -0.215058 | -0.485792 | -0.865418 | -0.441204 | -0.166308 | 0.348077 | -0.228722 | -0.083657 | 0.267551 | 0.169339 | 0.071649 | -0.181093 | 0.663615 | 0.034162 | 0.295058 | -1.396292 | -0.150755 | -0.114165 | -0.711831 | -0.193395 | -0.773249 | -0.258779 | -0.031374 | -0.453917 | -0.130500 | -0.040822 | -0.212707 | 0.028590 | -0.227937 | 0.125414 | -0.071125 | -0.065843 | -0.182371 | -0.577006 | -0.396663 | -0.561574 | 0.845047 | 0.352051 | -0.806170 | 0.749396 |
| 409 | -0.306053 | 0.190691 | -0.246596 | -0.128731 | 0.492385 | 1.079840 | -0.084117 | 0.083212 | -0.086731 | 0.722337 | 0.775134 | 0.075726 | -0.814489 | -0.085553 | -0.130952 | -0.240508 | 0.972598 | 1.575314 | 2.924133 | -0.329222 | -0.166308 | 0.624133 | -0.218707 | -0.384797 | -0.329415 | -0.353505 | 0.070561 | -0.181093 | -0.236195 | 0.779625 | 0.821152 | -1.211873 | 0.541243 | -0.114165 | -0.900448 | -0.060246 | -0.371715 | -0.185557 | 1.626703 | 1.102205 | -0.420340 | -0.304459 | -0.116852 | 1.622565 | -0.348440 | -0.202105 | 0.788518 | -0.026915 | -0.094047 | -0.406756 | -0.396663 | -0.465847 | -0.685948 | 0.938130 | -0.820454 | 0.749396 |
| 410 | -0.433925 | 0.560102 | -0.246596 | -0.357524 | -0.203506 | -0.549480 | -0.084117 | -0.360404 | -0.034494 | -0.091481 | -1.250224 | 0.096002 | -0.287565 | 0.273785 | -0.130952 | -0.340150 | 0.034462 | -0.085909 | -0.241957 | -0.301227 | -0.166308 | -0.721472 | -1.017699 | 0.475603 | 0.612013 | 0.660880 | -0.300831 | -0.181093 | 0.006997 | 0.541911 | 0.655428 | 0.827478 | -0.217917 | -0.114165 | 1.502195 | 0.282052 | 0.167720 | 0.363353 | -0.427051 | -0.727172 | 0.024965 | -0.304459 | -0.332514 | -0.379963 | 0.042917 | -0.233561 | -0.480085 | -0.065843 | 0.175340 | -0.364862 | -0.396663 | 0.877847 | -1.129229 | -0.542244 | 1.301265 | -1.334408 |
| 411 | 0.060514 | -0.886800 | -0.246596 | -0.390610 | 0.828343 | 0.573161 | 0.335635 | 0.537356 | 0.025302 | 1.464306 | 1.484010 | 0.568911 | -0.285988 | -0.242158 | 0.331325 | 0.398542 | -0.722417 | -1.250474 | 0.421150 | 0.790594 | -0.166308 | -0.027231 | 2.229264 | -0.427817 | 0.765625 | 0.336804 | -0.632595 | 0.381262 | 0.152912 | 0.518741 | -0.374999 | 0.365535 | -0.217917 | -0.114165 | -0.182766 | 2.634966 | -1.067301 | 0.157437 | -0.427051 | -0.824148 | 3.434789 | -0.023073 | -0.207089 | -0.379963 | -0.269331 | -2.200526 | -0.480085 | -0.047700 | -0.239782 | -0.942465 | -0.396663 | -0.142434 | 0.301190 | -1.170076 | 1.301265 | -1.334408 |
| 412 | -0.655570 | -0.150799 | 0.085637 | -0.423393 | 0.327974 | -0.774671 | 0.020055 | -0.510783 | -0.085916 | -0.381329 | -0.035009 | -0.310695 | -0.782887 | -0.210519 | -0.130952 | -0.231127 | 0.002011 | -0.654664 | -0.518611 | -1.169084 | -0.089761 | -0.177831 | 0.235410 | -0.610651 | -1.327523 | -1.469261 | -0.172207 | -0.181093 | 0.663615 | 0.326985 | -0.166465 | 0.196335 | -0.217917 | 0.415237 | 0.342103 | -0.166644 | -0.852339 | -0.671581 | -0.427051 | -0.448099 | -0.420340 | 0.126643 | -0.312358 | -0.379963 | 0.589755 | -0.087381 | -0.480085 | -0.053096 | -0.239782 | -1.160850 | 0.646562 | -0.342314 | -0.684086 | 0.478499 | 1.301265 | -1.334408 |
| 413 | 0.265110 | 0.274512 | -0.246596 | 1.004869 | -0.203506 | -0.403769 | -0.035707 | 0.483219 | -0.048300 | 0.262043 | 1.889081 | -0.089552 | 2.648425 | -0.185872 | -0.130952 | -0.152738 | -0.364848 | 0.150602 | -0.456364 | 0.258681 | -0.047660 | 0.664628 | 0.932297 | -1.331236 | 0.782848 | 0.381675 | -0.975777 | -0.075943 | -0.868494 | -0.395309 | -0.271555 | 1.786277 | 1.577786 | -0.114165 | 0.309761 | 0.044328 | -0.969960 | 0.250707 | 2.217079 | -1.119447 | 0.653595 | -0.148861 | -0.323200 | 2.654470 | -0.258915 | 0.432579 | 1.818692 | -0.056968 | 0.396150 | 1.187894 | -0.396663 | -0.345544 | 0.953446 | -0.577283 | -0.825959 | 0.749396 |
| 414 | -0.595896 | 1.618871 | -0.246596 | -0.285435 | 0.347384 | -0.569350 | -0.084117 | -0.382961 | -0.106195 | -0.381900 | 0.167527 | -0.220631 | 0.393171 | 0.255708 | -0.130952 | -0.431068 | -0.058357 | -0.301162 | -0.427587 | -0.637172 | -0.166308 | 1.608722 | -0.524329 | 0.765987 | -0.748569 | -0.696382 | -0.459452 | -0.181093 | 2.998258 | 0.162020 | 0.775122 | 0.985935 | -0.155608 | -0.114165 | -0.867119 | -0.152660 | -0.138500 | -0.237087 | -0.119302 | -0.770612 | -0.146893 | -0.304459 | -0.359226 | -0.184353 | -0.236964 | -0.396396 | -0.226153 | -0.060374 | -0.239782 | -1.228593 | -0.396663 | -0.343041 | -0.439723 | 0.063418 | -0.810352 | 0.749396 |
| 415 | -0.280478 | -0.612048 | -0.246596 | -0.334502 | -0.203506 | -0.552792 | -0.032644 | -0.623567 | 0.013216 | -0.331777 | 0.572598 | -0.249446 | 0.239837 | -0.172918 | -0.130952 | -0.340478 | -0.488602 | 0.087423 | -0.861218 | -0.273231 | -0.166308 | 0.564581 | -0.787475 | 0.733722 | 0.845211 | 0.280013 | 0.009520 | 0.299072 | 0.177231 | -0.075419 | 0.887657 | -0.144750 | -0.156578 | -0.114165 | -0.407180 | 0.671164 | -0.112137 | 0.022316 | -0.282598 | -1.244121 | -0.420340 | 0.054171 | -0.208666 | -0.128641 | -0.267397 | -0.148443 | 0.200315 | -0.056067 | 0.193005 | -0.716059 | -0.396663 | -0.671808 | 0.183106 | -0.696946 | -0.821720 | 0.749396 |
| 416 | 0.401507 | 0.274799 | -0.246596 | -0.029387 | 0.638528 | -0.872364 | -0.068185 | 0.499761 | -0.057625 | 0.283902 | 0.167527 | 0.161597 | -0.485373 | 19.945725 | 0.839274 | -0.261171 | 1.079819 | 0.786995 | -0.697202 | 0.678613 | -0.166308 | 1.639425 | -1.084809 | 0.120688 | -1.327523 | -0.142914 | 2.669568 | -0.181093 | -1.379198 | 0.563259 | 0.314887 | 1.679744 | -0.217723 | -0.114165 | 0.792043 | -0.305873 | -0.606957 | -0.837864 | -0.194669 | -1.420800 | -0.420340 | 0.011103 | -0.345328 | -0.240684 | -0.182311 | -0.767399 | -0.463635 | -0.015127 | 0.025190 | -0.719624 | -0.396663 | -0.719406 | 4.911682 | 0.968623 | 0.263201 | 0.749396 |
| 417 | -0.672620 | 0.982976 | -0.246596 | -0.390005 | -0.203506 | -0.883955 | -0.084117 | 0.639613 | -0.106195 | -0.278600 | 0.673866 | -0.182219 | -0.489316 | -0.073526 | -0.130952 | -0.325063 | -1.319564 | -0.084274 | 0.059646 | -0.525190 | -0.166308 | 0.184244 | -0.045579 | -0.105167 | -0.784656 | 0.706429 | -0.726010 | -0.181093 | 0.542019 | -0.360406 | 0.664161 | 0.747802 | -0.126492 | -0.114165 | -0.954514 | -0.698026 | -1.057161 | -0.129781 | 0.031432 | -0.984837 | 0.251773 | 0.012775 | -0.311668 | 0.097920 | -0.195941 | -0.011514 | -0.000258 | -0.050139 | -0.080799 | 0.991794 | 1.784680 | -0.732673 | -1.015243 | -0.207801 | -0.810072 | 0.749396 |
| 418 | 0.137238 | -0.964837 | 0.234046 | 0.485732 | -0.203506 | -0.234876 | -0.014260 | -1.739376 | -0.106195 | 0.421173 | 1.281474 | 1.284960 | 0.389256 | -0.220210 | -0.130952 | 0.329337 | 0.186145 | -0.185211 | -0.185391 | -0.049268 | -0.101243 | 0.918451 | 0.390811 | -1.546335 | 0.752183 | 0.587711 | -0.714914 | -0.181093 | -0.576664 | 0.187202 | -0.332118 | -0.822445 | -0.148814 | -0.114165 | -0.569628 | -0.214067 | 0.346179 | -0.131689 | 0.144483 | -0.903613 | -0.420340 | 0.024784 | 5.845248 | 0.177154 | -0.443666 | -0.250215 | -0.094962 | -0.054800 | 0.250415 | 0.025556 | -0.396663 | 0.071740 | -0.672538 | 0.245046 | -0.795688 | 0.749396 |
| 419 | -0.374251 | 0.706765 | -0.246596 | -0.266516 | -0.203506 | -0.330913 | -0.084117 | -0.401007 | 0.015117 | -0.453787 | 0.167527 | -0.228574 | -0.582347 | -0.199349 | -0.130952 | -0.437169 | -0.950149 | -0.708329 | -0.389424 | -0.413208 | -0.166308 | -0.529848 | -0.140776 | -0.653671 | 0.622110 | 0.507758 | -0.500867 | -0.181093 | -0.065961 | -0.986462 | 0.006633 | -1.123245 | -0.078935 | -0.114165 | -0.403230 | -0.698026 | 0.090658 | -0.255644 | 0.270095 | -0.992517 | -0.420340 | -0.304459 | -0.248684 | 0.302815 | -0.410566 | 0.005139 | 0.069765 | -0.054480 | -0.239782 | 0.073690 | -0.396663 | -0.587488 | -1.189947 | -0.335438 | -0.810106 | 0.749396 |
| 420 | 0.137238 | -0.568382 | -0.246596 | 0.286354 | -0.203506 | -0.069294 | -0.084117 | 1.403536 | -0.106195 | -0.446077 | 0.268795 | -0.182792 | -0.272779 | -0.017280 | -0.130952 | 0.047924 | -0.386647 | 1.162498 | 1.309038 | -0.189245 | 0.166672 | 0.138720 | -0.210074 | -0.546121 | 0.749161 | -0.782150 | 0.263330 | -0.181093 | -1.208963 | -0.619046 | -0.979410 | -0.406160 | -0.217917 | -0.114165 | -0.995003 | -0.013431 | 2.619510 | 0.067583 | -0.427051 | -1.172046 | -0.420340 | -0.281745 | -0.319257 | -0.379963 | -0.565917 | -0.392695 | -0.480085 | -0.062620 | -0.217701 | 0.205611 | -0.396663 | 0.729023 | 0.157403 | -0.890534 | 1.301265 | -1.334408 |
| 421 | -0.536223 | -0.161130 | -0.246596 | -0.243753 | -0.203506 | -1.821145 | -0.084117 | -0.208522 | -0.050473 | -0.390289 | 0.370063 | -0.270296 | 0.573178 | -0.048171 | -0.130952 | -0.189342 | -0.492164 | -1.250474 | -0.512807 | -0.497194 | -0.166308 | -2.397656 | -1.506004 | -0.158942 | 0.644226 | 0.894828 | -0.355035 | -0.181093 | -0.771218 | -0.660048 | -0.389388 | 0.419250 | 0.528626 | -0.114165 | -0.170175 | -0.290673 | -0.533951 | -0.167572 | 1.526214 | -1.007216 | -0.420340 | -0.304459 | -0.453110 | 0.659371 | -0.098635 | -2.200526 | 0.208456 | -0.045126 | -0.222117 | -0.933552 | -0.396663 | -0.673099 | -0.934781 | 0.495983 | -0.820849 | 0.749396 |
| 422 | -0.519173 | 1.129397 | -0.246596 | -0.221293 | -0.203506 | 0.318166 | -0.084117 | -1.146884 | -0.063283 | -0.468859 | -1.047688 | -0.204503 | -0.160454 | -0.163123 | -0.130952 | 0.044251 | 0.158334 | -0.731073 | 0.990391 | -0.777149 | -0.166308 | -1.418361 | -0.214908 | -0.137432 | -1.327523 | 2.404534 | -0.129744 | -0.181093 | 0.858169 | -0.895222 | 0.372801 | -0.887797 | -0.217917 | -0.114165 | -0.263989 | 1.191602 | -0.014796 | -0.267239 | -0.427051 | 1.102205 | 0.864318 | -0.304459 | -0.353804 | -0.379963 | -0.171528 | 0.489941 | -0.480085 | -0.042091 | -0.239782 | -0.948705 | 0.896059 | 0.145730 | -1.368750 | -0.903053 | 1.301265 | -1.334408 |
| 423 | -0.067358 | 0.389726 | -0.009726 | 1.211029 | -0.203506 | -0.264680 | -0.084117 | 0.666681 | -0.106195 | -0.177778 | 1.686546 | 0.119720 | 0.089573 | -0.065416 | -0.130952 | -0.217549 | 0.336586 | -0.034326 | -0.571719 | 0.370663 | -0.139517 | -0.367338 | -0.693774 | -0.266492 | -1.327523 | -1.349865 | 4.701673 | -0.181093 | -0.187557 | -0.666783 | -1.351163 | -0.472407 | -0.157549 | -0.114165 | -0.058338 | -0.698026 | 1.171555 | -0.250092 | -0.357965 | -0.598033 | -0.420340 | -0.304459 | -0.287223 | -0.233255 | -0.425420 | -0.153995 | 0.373832 | -0.055051 | 0.188589 | 1.047950 | -0.396663 | -0.467151 | 0.202848 | -0.908228 | -0.827041 | 0.749396 |
| 424 | 0.503805 | -1.162642 | 0.080985 | -0.047441 | -0.203506 | -0.364029 | -0.084117 | 1.196014 | -0.106195 | 0.566091 | 0.775134 | -0.134782 | -0.121444 | -0.321829 | -0.130952 | 0.266495 | -0.622521 | 0.662570 | 0.008514 | -0.217240 | 0.139881 | -0.371043 | -0.711271 | 0.948822 | 0.667300 | 1.184403 | -1.117190 | -0.181093 | 0.444742 | 0.313388 | 0.542606 | 0.475649 | -0.217917 | -0.114165 | 0.467765 | 0.333123 | -1.016602 | 0.347873 | -0.427051 | 1.102205 | 0.024965 | 0.010962 | -0.418809 | -0.379963 | 1.674138 | -0.198404 | -0.480085 | -0.051954 | -0.239782 | 1.975860 | -0.396663 | 0.360671 | -1.302816 | -0.703381 | 1.301265 | -1.334408 |
| 425 | -0.672620 | -0.282543 | 0.071531 | -0.412033 | -0.203506 | -0.397145 | -0.084117 | 0.272689 | -0.085373 | -0.080012 | -1.351492 | -0.265553 | -0.887720 | -0.187734 | -0.130952 | -0.393612 | -0.246005 | -0.730775 | -0.751298 | -0.777149 | -0.043833 | -0.057933 | -0.084832 | -1.739925 | 0.643449 | -0.085735 | 0.622028 | -0.181093 | -0.746898 | -0.986462 | -1.443081 | -1.902101 | -0.217917 | -0.114165 | 0.388516 | -0.698026 | 0.364431 | -0.447597 | -0.427051 | -1.156155 | 0.021271 | -0.304459 | -0.340646 | -0.379963 | 0.144613 | -0.313128 | -0.480085 | -0.056493 | -0.098464 | -0.166087 | -0.396663 | -0.118662 | 0.582058 | -1.100278 | 1.301265 | -1.334408 |
| 426 | -0.007684 | -0.278495 | -0.246596 | -0.227556 | -0.203506 | -0.155397 | 0.002898 | -0.170927 | -0.014894 | 0.025040 | -0.136277 | 0.733483 | -0.986384 | 0.028818 | -0.130952 | -0.271010 | 0.063066 | -0.340853 | 0.364337 | 0.174695 | 0.109262 | 0.324521 | 1.294440 | -0.051392 | -1.327523 | -0.524750 | 0.390786 | -0.181093 | 0.250189 | -0.359220 | 0.092752 | 0.110393 | -0.217723 | -0.114165 | 0.733162 | -0.424431 | 3.907258 | -0.296632 | -0.357965 | -1.089377 | 2.081711 | -0.126341 | -0.176731 | -0.366964 | 0.999988 | 1.202342 | -0.469689 | -0.061560 | 0.020774 | 0.527394 | -0.396663 | -0.683136 | 0.728080 | 0.272952 | -0.486512 | 0.749396 |
| 427 | -0.297528 | 0.898728 | 0.255505 | -0.340376 | -0.203506 | -0.185201 | -0.084117 | 1.099771 | -0.106195 | 0.663483 | 1.078938 | -0.037394 | -0.751722 | -0.141891 | -0.130952 | -0.355369 | 0.912100 | -0.010243 | -0.750310 | 0.846585 | -0.085934 | 0.361576 | 2.928799 | -0.126677 | 0.691039 | 1.610043 | 0.281855 | -0.181093 | 0.347465 | -0.564488 | -0.513520 | -1.327359 | -0.217917 | -0.114165 | 1.371472 | -0.432943 | 1.147219 | -0.206511 | -0.427051 | 0.122548 | -0.185143 | -0.077815 | -0.133608 | -0.379963 | -0.314807 | -0.388069 | -0.480085 | -0.055796 | -0.239782 | 0.322380 | 0.076666 | -0.470636 | -0.302268 | -0.161327 | 1.301265 | -1.334408 |
| 428 | -0.450975 | 1.541316 | -0.246596 | -0.461360 | -0.203506 | -0.864085 | -0.084117 | -1.739376 | -0.106195 | -0.941030 | -0.035009 | -0.622253 | 0.021637 | -0.189527 | -0.130952 | -0.411258 | 1.408819 | -0.859065 | -0.513671 | -0.105259 | -0.166308 | -0.414715 | -0.876342 | -1.825965 | 0.754944 | -1.041876 | -0.165544 | -0.181093 | -1.087367 | -0.986462 | -2.887210 | -0.393626 | -0.217917 | -0.114165 | -0.332869 | -0.698026 | -0.282485 | -0.320256 | -0.427051 | 1.102205 | 0.999464 | -0.304459 | -0.159088 | -0.379963 | -0.628484 | -0.596238 | -0.480085 | -0.055680 | -0.239782 | -1.214331 | -0.396663 | 0.013568 | 0.521340 | -1.378560 | 1.301265 | -1.334408 |
| 429 | 0.000841 | -0.187329 | -0.246596 | -0.122597 | -0.203506 | -0.850838 | -0.084117 | 0.493746 | -0.106195 | 0.092288 | 0.572598 | -0.234134 | -0.381526 | -0.037638 | -0.130952 | -0.149590 | 0.260845 | -0.127830 | 0.166109 | 0.034718 | 0.074816 | 0.619634 | 0.363644 | -1.922760 | 1.128647 | 1.251466 | -0.861889 | -0.181093 | -0.917133 | -0.564785 | -1.340281 | 2.087077 | -0.089611 | -0.114165 | -0.388170 | 0.578750 | -0.501503 | 0.372585 | 0.307778 | -1.005921 | -0.420340 | 0.056741 | -0.239912 | 0.226676 | -0.278742 | 0.447382 | -0.035128 | -0.052119 | -0.063134 | 0.661990 | -0.396663 | 0.251686 | -0.984697 | -1.132309 | -0.806950 | 0.749396 |
| 430 | -0.595896 | 1.810744 | -0.246596 | -0.269712 | -0.203506 | 0.003561 | -0.084117 | 0.337352 | -0.106195 | -0.104924 | 0.977670 | -0.288146 | -0.457545 | -0.222606 | -0.130952 | -0.086682 | -0.275580 | -0.046367 | -0.334340 | -0.553185 | -0.166308 | 0.039467 | -0.617340 | 0.701457 | 0.367835 | 1.704243 | -0.270472 | -0.181093 | -0.260514 | 0.106679 | 0.161118 | 1.626925 | -0.195400 | -0.114165 | -0.342744 | 0.886392 | -1.069329 | -0.081964 | -0.131863 | 1.102205 | -0.201921 | -0.078273 | -0.348827 | -0.043216 | -0.436824 | 1.764860 | -0.218773 | -0.050086 | 0.135594 | -0.122411 | 0.095189 | -0.765098 | -0.571589 | 1.708076 | -0.774863 | 0.749396 |
# importing libraries to balance the target variable by SMOTE:
import os
os.environ['THREADPOOLCTL_USE'] = '0'
# Now run your code with SMOTE
from imblearn.over_sampling import SMOTE
# Create the SMOTE object
smote = SMOTE(random_state=42)
# Apply SMOTE on the scaled training set
x_train_resampled, y_train_resampled = smote.fit_resample(x_train_scaled, y_train)
# Balancing the class of train dataset using oversampling method: SMOTE
from imblearn.over_sampling import SMOTE
# Create the SMOTE object
smote = SMOTE(random_state=42)
# Apply SMOTE on the scaled training set
x_train_resampled, y_train_resampled = smote.fit_resample(x_train_scaled, y_train)
# Checking the resampled input variable of training set
x_train_resampled.head(8)
| AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | EJ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -0.578847 | -0.813207 | -0.246596 | -0.485677 | -0.189234 | -0.950187 | -0.084117 | -0.250628 | -0.106195 | -0.611691 | -0.946420 | -0.725135 | -0.991933 | -0.231473 | -0.130952 | -0.437169 | -0.551490 | -0.739397 | -0.221702 | -0.917126 | -0.166308 | -0.656098 | -0.209843 | 0.185218 | -1.327523 | -0.165398 | -0.254580 | -0.166785 | 0.736573 | 0.337447 | -0.440000 | -0.712331 | -0.217917 | -0.114165 | -0.169187 | -0.514413 | -1.085553 | -0.357101 | -0.427051 | -0.784791 | -0.420340 | -0.068096 | -0.216354 | -0.379963 | 3.917970 | -0.002263 | -0.480085 | -0.065843 | -0.116128 | -0.501240 | -0.254094 | 0.402761 | -0.202064 | 0.897986 | 1.301265 | -1.334408 |
| 1 | 0.154287 | 1.373691 | -0.246596 | -0.197105 | -0.203506 | -0.215006 | -0.084117 | -1.158915 | -0.106195 | -0.264544 | 0.268795 | -0.347287 | -1.016493 | 0.852010 | -0.130952 | -0.425427 | 0.131706 | -0.641582 | -0.404985 | 0.398658 | -0.166308 | -0.722531 | 0.164961 | -0.008372 | 0.748316 | 0.751784 | -0.809338 | -0.181093 | -1.038729 | 0.248368 | -0.634861 | -2.002368 | -0.217917 | -0.114165 | 3.881630 | -0.369712 | 0.903865 | -0.123023 | -0.427051 | 1.102205 | 0.009418 | -0.281041 | 0.050020 | -0.379963 | 2.328843 | 1.330019 | -0.480085 | -0.052777 | -0.173539 | 0.961042 | -0.396663 | -0.755450 | 0.118290 | 1.294184 | 1.301265 | -1.334408 |
| 2 | -0.527698 | 0.103716 | -0.246596 | -0.426589 | -0.203506 | 0.612901 | -0.038771 | -1.739376 | -0.106195 | 0.149485 | 0.876402 | -0.211431 | 1.184260 | -0.170499 | 0.260843 | -0.228503 | -1.510491 | -0.390058 | -0.133024 | -0.637172 | -0.166308 | -0.273908 | -0.609973 | 0.443338 | -1.327523 | 0.507370 | -0.895136 | -0.181093 | -0.211876 | -0.391073 | 0.548620 | -0.390940 | 0.011326 | -0.114165 | -0.060066 | 0.244356 | -0.799612 | -0.207139 | 0.445951 | 1.102205 | 0.192743 | -0.304459 | -0.412353 | 0.190773 | 4.684170 | -0.672104 | -0.006608 | -0.045489 | -0.054302 | -1.012883 | 0.028176 | -0.669144 | -1.294994 | -0.831437 | -0.815500 | 0.749396 |
| 3 | -0.433925 | 0.772965 | -0.246596 | -0.401710 | -0.203506 | -1.076029 | -0.084117 | -1.739376 | -0.090624 | 0.796538 | 0.775134 | 0.620209 | -0.997453 | 0.094638 | 0.034819 | -0.218073 | -0.037031 | -0.960002 | -0.677441 | -1.253070 | -0.166308 | -0.856721 | 1.693993 | -1.438786 | -0.428232 | 2.004963 | -0.855011 | -0.181093 | -1.306240 | -0.114855 | -0.594843 | -1.648749 | 0.220964 | -0.114165 | -0.194122 | 0.775130 | 0.350235 | 0.185266 | 0.533880 | -1.404094 | -0.420340 | 0.044610 | -0.313442 | 0.448904 | 2.767541 | -0.986670 | 0.383630 | -0.061318 | -0.239782 | -0.259681 | -0.396663 | -0.629923 | -1.372102 | -0.400550 | -0.822730 | 0.749396 |
| 4 | -0.050308 | -0.519493 | -0.183946 | 0.029572 | -0.203506 | 0.616212 | -0.084117 | -1.046131 | -0.106195 | -0.942073 | -0.440081 | -0.635050 | -0.750640 | 0.887792 | -0.130952 | -0.382460 | -0.512117 | 0.115519 | -0.053980 | 0.174695 | -0.166308 | 0.421128 | -1.506004 | -0.793486 | -1.327523 | -1.299858 | 0.858791 | -0.181093 | -0.673941 | -0.616229 | -0.127236 | -0.202941 | -0.125521 | -0.114165 | 0.563308 | -0.698026 | 0.565198 | -0.837864 | -0.295159 | -0.791123 | -0.420340 | -0.230367 | -0.399638 | -0.328584 | -0.578600 | -1.069938 | -0.225156 | -0.065843 | -0.239782 | -0.908594 | -0.396663 | -0.740521 | 2.121993 | -1.108181 | -0.825925 | 0.749396 |
| 5 | -0.493599 | -0.372892 | -0.148156 | 0.086845 | -0.203506 | 1.656063 | -0.084117 | 1.845649 | -0.106195 | 0.752954 | -0.136277 | 0.179512 | -0.593107 | 0.061663 | 0.260671 | -0.260777 | 0.131682 | 0.316055 | -0.637178 | -0.581181 | 0.105434 | -1.425242 | 0.694937 | 1.841486 | -1.327523 | 0.821368 | 0.890185 | -0.181093 | 0.006997 | 0.614259 | -0.503212 | -0.259341 | -0.217917 | -0.114165 | -0.810830 | -0.030454 | -0.300736 | 0.027032 | -0.427051 | 1.102205 | -0.420340 | -0.079224 | 0.597405 | -0.379963 | -0.260700 | -0.248364 | -0.480085 | -0.057171 | -0.217701 | 1.699537 | -0.396663 | 1.727410 | -1.140032 | 0.197489 | 1.301265 | -1.334408 |
| 6 | 0.103138 | 0.262438 | -0.246596 | -0.201165 | -0.203506 | -0.099099 | -0.084117 | 0.994506 | -0.050880 | -0.173295 | 0.775134 | -0.261449 | 0.859735 | 0.309910 | -0.130952 | -0.015509 | -0.303474 | -1.250474 | 4.781053 | -0.133254 | -0.166308 | 0.033644 | -0.088515 | -0.535366 | -1.327523 | -0.062283 | -0.361939 | -0.181093 | -0.138918 | -0.257560 | 0.213806 | -0.414217 | -0.058553 | -0.114165 | -1.400381 | 0.081415 | -1.026742 | -0.041610 | 0.282656 | -0.021718 | -0.420340 | -0.304459 | -0.393724 | 0.152394 | -0.153704 | -2.200526 | -0.026547 | -0.024844 | 0.069352 | -0.134890 | -0.396663 | -0.306927 | 1.320363 | 1.629745 | -0.812611 | 0.749396 |
| 7 | 0.213961 | 0.080134 | 0.081135 | -0.274809 | -0.203506 | -0.218318 | -0.084117 | 1.597525 | -0.106195 | 0.534563 | 0.167527 | 0.025421 | 0.224064 | 0.008408 | -0.130952 | 0.267216 | 0.327473 | -0.066286 | -0.065095 | -0.385213 | -0.017041 | 0.237179 | 0.153105 | -0.503101 | 0.720467 | 0.971292 | 0.302690 | -0.181093 | -0.892814 | -0.144993 | 0.080797 | -0.690845 | 0.181171 | -0.114165 | 0.670454 | -0.067542 | -0.073606 | 0.399997 | 0.157044 | -1.166922 | -0.420340 | -0.190574 | 1.199544 | 0.229771 | -0.530029 | -0.551829 | 0.528207 | -0.036521 | 0.268080 | 0.367840 | -0.233196 | -0.529183 | 0.795876 | -0.600082 | -0.825954 | 0.749396 |
# Checking the resampled target variable of training set
y_train_resampled = pd.DataFrame({'Class': y_train_resampled})
y_train_resampled.head(8)
| Class | |
|---|---|
| 0 | 0.0 |
| 1 | 0.0 |
| 2 | 0.0 |
| 3 | 1.0 |
| 4 | 0.0 |
| 5 | 0.0 |
| 6 | 0.0 |
| 7 | 1.0 |
# Print the shapes of the resulting datasets
print("x_train shape of over-sampled data:", x_train_resampled.shape)
print("y_train shape of over-sampled data:", y_train_resampled.shape)
x_train shape of over-sampled data: (712, 56) y_train shape of over-sampled data: (712, 1)
# Renaming the balanced dataframes
x_train_processed = x_train_resampled
x_valid_processed = x_valid_scaled
y_train_processed = y_train_resampled
y_valid_processed = y_valid
# checking the distribution of 'y_train_resampled' variable(output variable)
class_distribution = y_train_processed['Class'].value_counts()
# Plotting the pie chart
plt.figure(figsize=(8, 6))
plt.pie(class_distribution, labels=class_distribution.index, autopct='%1.1f%%')
plt.title('Distribution of Output Class')
plt.show()
# Concatenate x_train_resampled and y_train_resampled into a single DataFrame
concatenate_df = pd.concat([x_train_processed, y_train_processed], axis=1)
# Plotting the correlation between each feature & target variable 'class'
# Calculate correlation with Class
corr_with_class = concatenate_df.corr()['Class'].drop('Class')
plt.figure(figsize=(15, 7))
corr_with_class.plot(kind='bar')
plt.xlabel('Features')
plt.ylabel('Correlation with Class')
plt.title('Correlation of Features with Class')
plt.show()
# Select features with correlation >= 0.1 or <= -0.1
selected_features = corr_with_class[(corr_with_class >= 0.1) | (corr_with_class <= -0.1)]
# Plot the selected features
plt.figure(figsize=(15, 7))
selected_features.plot(kind='bar', color=np.where(selected_features >= 0, 'green', 'red'))
plt.xlabel('Features')
plt.ylabel('Correlation with Class')
plt.title('Features with Correlation >= 0.1 or <= -0.1')
plt.show()
# Printing the selected features
selected_columns = selected_features.index.tolist()
print("Selected Columns:")
print(selected_columns)
Selected Columns: ['AB', 'AF', 'AM', 'AR', 'AX', 'BC', 'BD ', 'BN', 'BP', 'BQ', 'BZ', 'CD ', 'CR', 'CU', 'CW ', 'DA', 'DE', 'DH', 'DI', 'DL', 'DU', 'EB', 'EE', 'EH', 'FD ', 'FE', 'FI', 'FL', 'GB', 'GF', 'GI', 'GL', 'EJ']
len(selected_columns)
33
from sklearn.feature_selection import SelectKBest, f_classif
# Number of top features to select
k = 25
# Create the feature selector
selector = SelectKBest(score_func=f_classif, k=k)
# Perform feature selection
x_train_selected = selector.fit_transform(x_train_processed, y_train_processed)
# Get the indices of the selected features
selected_feature_indices = selector.get_support(indices=True)
# Get the column names of the selected features
selected_feature_names = [x_train_processed.columns[idx] for idx in selected_feature_indices]
# Print the column names of the selected features
print("Selected column names:")
for name in selected_feature_names:
print(name)
Selected column names: AB AF AM BC BN BQ CD CR CU CW DA DE DH DI DL DU EB EE EH FD FE FL GF GL EJ
# Convert the selected columns lists to sets
Pearson_corr = set(selected_columns)
Kbest = set(selected_feature_names)
# Find the common elements
common_elements = Pearson_corr.intersection(Kbest)
# Print the common elements
print("Common elements:", common_elements)
Common elements: {'CW ', 'DL', 'FL', 'EE', 'AB', 'DI', 'DA', 'CU', 'EB', 'AF', 'GF', 'AM', 'DU', 'EH', 'DH', 'CR', 'BQ', 'FE', 'BN', 'FD ', 'EJ', 'BC', 'DE', 'GL', 'CD '}
# List of columns which are most related to target variable
common_columns = sorted(list(common_elements))
print("Common columns:", common_elements)
Common columns: {'CW ', 'DL', 'FL', 'EE', 'AB', 'DI', 'DA', 'CU', 'EB', 'AF', 'GF', 'AM', 'DU', 'EH', 'DH', 'CR', 'BQ', 'FE', 'BN', 'FD ', 'EJ', 'BC', 'DE', 'GL', 'CD '}
len(common_columns)
25
if isinstance(x_train_processed, pd.DataFrame):
print("yes")
else:
print("no")
yes
# Filter the DataFrame columns
x_train_filtered = x_train_processed[common_columns]
# Print the filtered DataFrame
x_train_filtered.head()
| AB | AF | AM | BC | BN | BQ | CD | CR | CU | CW | DA | DE | DH | DI | DL | DU | EB | EE | EH | EJ | FD | FE | FL | GF | GL | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -0.578847 | -0.813207 | -0.485677 | -0.106195 | -0.946420 | -0.991933 | -0.739397 | -0.656098 | 0.185218 | -1.327523 | -0.165398 | -0.254580 | 0.736573 | 0.337447 | -0.440000 | -0.217917 | -0.514413 | -1.085553 | -0.427051 | -1.334408 | -0.379963 | 3.917970 | -0.480085 | 0.402761 | 1.301265 |
| 1 | 0.154287 | 1.373691 | -0.197105 | -0.106195 | 0.268795 | -1.016493 | -0.641582 | -0.722531 | -0.008372 | 0.748316 | 0.751784 | -0.809338 | -1.038729 | 0.248368 | -0.634861 | -0.217917 | -0.369712 | 0.903865 | -0.427051 | -1.334408 | -0.379963 | 2.328843 | -0.480085 | -0.755450 | 1.301265 |
| 2 | -0.527698 | 0.103716 | -0.426589 | -0.106195 | 0.876402 | 1.184260 | -0.390058 | -0.273908 | 0.443338 | -1.327523 | 0.507370 | -0.895136 | -0.211876 | -0.391073 | 0.548620 | 0.011326 | 0.244356 | -0.799612 | 0.445951 | 0.749396 | 0.190773 | 4.684170 | -0.006608 | -0.669144 | -0.815500 |
| 3 | -0.433925 | 0.772965 | -0.401710 | -0.090624 | 0.775134 | -0.997453 | -0.960002 | -0.856721 | -1.438786 | -0.428232 | 2.004963 | -0.855011 | -1.306240 | -0.114855 | -0.594843 | 0.220964 | 0.775130 | 0.350235 | 0.533880 | 0.749396 | 0.448904 | 2.767541 | 0.383630 | -0.629923 | -0.822730 |
| 4 | -0.050308 | -0.519493 | 0.029572 | -0.106195 | -0.440081 | -0.750640 | 0.115519 | 0.421128 | -0.793486 | -1.327523 | -1.299858 | 0.858791 | -0.673941 | -0.616229 | -0.127236 | -0.125521 | -0.698026 | 0.565198 | -0.295159 | 0.749396 | -0.328584 | -0.578600 | -0.225156 | -0.740521 | -0.825925 |
#Checking Shape of training & vValidation sets:
print('Shape of training set with all features :', x_train_processed.shape)
print('Shape of training set with best features :', x_train_filtered.shape)
print('Shape of training set (target):', y_train_processed.shape)
print('Shape of validation set:', x_valid_processed.shape)
print('Shape of validation set (target) :', y_valid_processed.shape)
Shape of training set with all features : (712, 56) Shape of training set with best features : (712, 25) Shape of training set (target): (712, 1) Shape of validation set: (186, 56) Shape of validation set (target) : (186,)
# importing evaluating parameters from sklearn library.
from sklearn.metrics import precision_score, recall_score, accuracy_score, f1_score, classification_report
# importing required libraries for SVM:
from sklearn.svm import SVC
from sklearn.model_selection import GridSearchCV, KFold
# Hyperparameter Tuning using GridSearchCV with k-fold Cross-Validation:
# Create the SVM model
model_SVM = SVC()
# Define the hyperparameter grid
param_grid_SVM = {
'C': [0.1, 1, 10], # Regularization parameter
'kernel': ['linear', 'poly', 'rbf', 'sigmoid'], # Kernel type (linear or radial basis function)
'gamma': [0.001, 0.01, 0.1], # Kernel coefficient for 'rbf'
'degree': [2, 3, 4],
'coef0': [0.0, 0.5],
}
# Create k-fold cross-validation object (here, k=5)
kfold = KFold(n_splits=5, shuffle=True, random_state=42)
# Create the GridSearchCV object with k-fold cross-validation
grid_search_SVM = GridSearchCV(model_SVM, param_grid_SVM, cv=kfold)
# Perform grid search with k-fold cross-validation to find the best hyperparameters
grid_search_SVM.fit(x_train_filtered, y_train_processed)
GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=SVC(),
param_grid={'C': [0.1, 1, 10], 'coef0': [0.0, 0.5],
'degree': [2, 3, 4], 'gamma': [0.001, 0.01, 0.1],
'kernel': ['linear', 'poly', 'rbf', 'sigmoid']})In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=SVC(),
param_grid={'C': [0.1, 1, 10], 'coef0': [0.0, 0.5],
'degree': [2, 3, 4], 'gamma': [0.001, 0.01, 0.1],
'kernel': ['linear', 'poly', 'rbf', 'sigmoid']})SVC()
SVC()
# Retrieve the best model with optimized hyperparameters
best_model_SVM = grid_search_SVM.best_estimator_
best_params_SVM = grid_search_SVM.best_params_
print(best_params_SVM)
{'C': 10, 'coef0': 0.0, 'degree': 2, 'gamma': 0.1, 'kernel': 'rbf'}
# Train the best model on the full training set
best_model_SVM.fit(x_train_filtered, y_train_processed)
SVC(C=10, degree=2, gamma=0.1)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
SVC(C=10, degree=2, gamma=0.1)
# Assuming x_train_filtered.columns and x_valid_processed.columns are not in the same order
x_valid_processed = x_valid_processed.reindex(columns=x_train_filtered.columns)
# Checking the order of columns of training & validation:
print("Columns in x_train_filtered:", x_train_filtered.columns)
print("Columns in x_valid_processed:", x_valid_processed.columns)
Columns in x_train_filtered: Index(['AB', 'AF', 'AM', 'BC', 'BN', 'BQ', 'CD ', 'CR', 'CU', 'CW ', 'DA',
'DE', 'DH', 'DI', 'DL', 'DU', 'EB', 'EE', 'EH', 'EJ', 'FD ', 'FE', 'FL',
'GF', 'GL'],
dtype='object')
Columns in x_valid_processed: Index(['AB', 'AF', 'AM', 'BC', 'BN', 'BQ', 'CD ', 'CR', 'CU', 'CW ', 'DA',
'DE', 'DH', 'DI', 'DL', 'DU', 'EB', 'EE', 'EH', 'EJ', 'FD ', 'FE', 'FL',
'GF', 'GL'],
dtype='object')
# Make predictions on the test set
y_pred_SVM = best_model_SVM.predict(x_valid_processed)
# Evaluate the model using accuracy and classification report
accuracy_SVM = accuracy_score(y_valid_processed, y_pred_SVM)
accuracy_percentage_SVM = accuracy_SVM * 100
# Print the accuracy
print("Accuracy of SVM Model: {:.2f}%".format(accuracy_percentage_SVM))
# Convert the classification report string to a DataFrame
classification_report_SVM = classification_report(y_valid_processed, y_pred_SVM, output_dict=True)
classification_report_SVM_df = pd.DataFrame(classification_report_SVM).transpose()
# Convert classification report values to percentages
classification_report_SVM_df.iloc[:, :-1] *= 100
# Print the classification report DataFrame
print("Support Vector Machine Classification Report:")
print(classification_report_SVM_df)
Accuracy of SVM Model: 86.56%
Support Vector Machine Classification Report:
precision recall f1-score support
0.0 90.000000 94.117647 92.012780 153.000000
1.0 65.384615 51.515152 57.627119 33.000000
accuracy 86.559140 86.559140 86.559140 0.865591
macro avg 77.692308 72.816399 74.819949 186.000000
weighted avg 85.632754 86.559140 85.912098 186.000000
# Importing required libraries for DT:
from sklearn.tree import DecisionTreeClassifier
# Create the Decision Tree classifier
model_DT = DecisionTreeClassifier(random_state=42)
# Define the hyperparameter grid
param_grid_DT = {
'criterion': ['gini', 'entropy'],
'max_depth': [None, 10, 20, 30],
'min_samples_split': [2, 5, 10],
'min_samples_leaf': [1, 2, 4],
}
# Create k-fold cross-validation object (here, k=5)
kfold = KFold(n_splits=5, shuffle=True, random_state=42)
# Create the GridSearchCV object with k-fold cross-validation
grid_search_DT = GridSearchCV(model_DT, param_grid_DT, cv=kfold)
# Perform grid search with k-fold cross-validation to find the best hyperparameters of DT Model
grid_search_DT.fit(x_train_filtered, y_train_processed)
GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=DecisionTreeClassifier(random_state=42),
param_grid={'criterion': ['gini', 'entropy'],
'max_depth': [None, 10, 20, 30],
'min_samples_leaf': [1, 2, 4],
'min_samples_split': [2, 5, 10]})In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=DecisionTreeClassifier(random_state=42),
param_grid={'criterion': ['gini', 'entropy'],
'max_depth': [None, 10, 20, 30],
'min_samples_leaf': [1, 2, 4],
'min_samples_split': [2, 5, 10]})DecisionTreeClassifier(random_state=42)
DecisionTreeClassifier(random_state=42)
# Retrieve the best model with optimized hyperparameters: Decision Tree
best_model_DT = grid_search_DT.best_estimator_
best_params_DT = grid_search_DT.best_params_
print(best_params_DT)
{'criterion': 'entropy', 'max_depth': None, 'min_samples_leaf': 1, 'min_samples_split': 10}
# Train the best model on the full training set
best_model_DT.fit(x_train_filtered, y_train_processed)
# Make predictions on the test set
y_pred_DT = best_model_DT.predict(x_valid_processed)
# Evaluate the model using accuracy and classification report
accuracy_DT = accuracy_score(y_valid_processed, y_pred_DT)
accuracy_percentage_DT = accuracy_DT * 100
# Print the accuracy
print("Accuracy of DT Model: {:.2f}%".format(accuracy_percentage_DT))
# Convert the classification report string to a DataFrame
classification_report_DT = classification_report(y_valid_processed, y_pred_DT, output_dict=True)
classification_report_DT_df = pd.DataFrame(classification_report_DT).transpose()
# Convert classification report values to percentages
classification_report_DT_df.iloc[:, :-1] *= 100
# Print the classification report DataFrame
print("Decision Tree Classification Report:")
print(classification_report_DT_df)
Accuracy of DT Model: 86.02%
Decision Tree Classification Report:
precision recall f1-score support
0.0 93.793103 88.888889 91.275168 153.000000
1.0 58.536585 72.727273 64.864865 33.000000
accuracy 86.021505 86.021505 86.021505 0.860215
macro avg 76.164844 80.808081 78.070016 186.000000
weighted avg 87.537915 86.021505 86.589469 186.000000
# importing required libraries for RF:
from sklearn.ensemble import RandomForestClassifier
# Create the Random Forest classifier
model_RF = RandomForestClassifier(random_state=42)
# Define the hyperparameter grid
param_grid_RF = {
'n_estimators': [300], # Number of trees in the forest
'criterion': ['gini'],
'max_depth': [30],
'min_samples_split': [5],
'min_samples_leaf': [2],
}
# Create k-fold cross-validation object (here, k=5)
kfold = KFold(n_splits=5, shuffle=True, random_state=42)
# Create the GridSearchCV object with k-fold cross-validation
grid_search_RF = GridSearchCV(model_RF, param_grid_RF, cv=kfold)
# Perform grid search with k-fold cross-validation to find the best hyperparameters of the Random Forest Model
grid_search_RF.fit(x_train_filtered, y_train_processed)
GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=RandomForestClassifier(random_state=42),
param_grid={'criterion': ['gini'], 'max_depth': [30],
'min_samples_leaf': [2], 'min_samples_split': [5],
'n_estimators': [300]})In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=RandomForestClassifier(random_state=42),
param_grid={'criterion': ['gini'], 'max_depth': [30],
'min_samples_leaf': [2], 'min_samples_split': [5],
'n_estimators': [300]})RandomForestClassifier(random_state=42)
RandomForestClassifier(random_state=42)
# Retrieve the best model with optimized hyperparameters: Random Forest
best_model_RF = grid_search_RF.best_estimator_
best_params_RF = grid_search_RF.best_params_
print(best_params_RF)
{'criterion': 'gini', 'max_depth': 30, 'min_samples_leaf': 2, 'min_samples_split': 5, 'n_estimators': 300}
# Train the best model on the full training set
best_model_RF.fit(x_train_filtered, y_train_processed)
# Make predictions on the test set
y_pred_RF = best_model_RF.predict(x_valid_processed)
# Evaluate the model using accuracy and classification report
accuracy_RF = accuracy_score(y_valid_processed, y_pred_RF)
accuracy_percentage_RF = accuracy_RF * 100
# Print the accuracy
print("Accuracy of Random Forest Model: {:.2f}%".format(accuracy_percentage_RF))
# Convert the classification report string to a DataFrame
classification_report_RF = classification_report(y_valid_processed, y_pred_RF, output_dict=True)
classification_report_RF_df = pd.DataFrame(classification_report_RF).transpose()
# Convert classification report values to percentages
classification_report_RF_df.iloc[:, :-1] *= 100
# Print the classification report DataFrame
print("Random Forest Classification Report:")
print(classification_report_RF_df)
Accuracy of Random Forest Model: 90.32%
Random Forest Classification Report:
precision recall f1-score support
0.0 95.918367 92.156863 94.000000 153.000000
1.0 69.230769 81.818182 75.000000 33.000000
accuracy 90.322581 90.322581 90.322581 0.903226
macro avg 82.574568 86.987522 84.500000 186.000000
weighted avg 91.183471 90.322581 90.629032 186.000000
# Importing required libraries for logistic regression:
from sklearn.linear_model import LogisticRegression
# Create the Logistic Regression classifier
model_LR = LogisticRegression(random_state=42)
# Define the hyperparameter grid
param_grid_LR = {
'C': [0.1, 1.0, 10.0], # Inverse of regularization strength
'penalty': ['l1', 'l2'], # Regularization type (L1 or L2)
'solver': ['liblinear', 'saga'] # Solver to use for optimization (depending on the regularization)
}
# Create k-fold cross-validation object (here, k=5)
kfold = KFold(n_splits=5, shuffle=True, random_state=42)
# Create the GridSearchCV object with k-fold cross-validation
grid_search_LR = GridSearchCV(model_LR, param_grid_LR, cv=kfold)
# Perform grid search with k-fold cross-validation to find the best hyperparameters of the Logistic Regression Model
grid_search_LR.fit(x_train_filtered, y_train_processed)
GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=LogisticRegression(random_state=42),
param_grid={'C': [0.1, 1.0, 10.0], 'penalty': ['l1', 'l2'],
'solver': ['liblinear', 'saga']})In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=LogisticRegression(random_state=42),
param_grid={'C': [0.1, 1.0, 10.0], 'penalty': ['l1', 'l2'],
'solver': ['liblinear', 'saga']})LogisticRegression(random_state=42)
LogisticRegression(random_state=42)
# Retrieve the best model with optimized hyperparameters: Logistic Regression
best_model_LR = grid_search_LR.best_estimator_
best_params_LR = grid_search_LR.best_params_
print(best_params_LR)
{'C': 10.0, 'penalty': 'l1', 'solver': 'liblinear'}
# Train the best model on the full training set
best_model_LR.fit(x_train_filtered, y_train_processed)
# Make predictions on the test set
y_pred_LR = best_model_LR.predict(x_valid_processed)
# Evaluate the model using accuracy and classification report
accuracy_LR = accuracy_score(y_valid_processed, y_pred_LR)
accuracy_percentage_LR = accuracy_LR * 100
# Print the accuracy
print("Accuracy of Logistic Regression Model: {:.2f}%".format(accuracy_percentage_LR))
# Convert the classification report string to a DataFrame
classification_report_LR = classification_report(y_valid_processed, y_pred_LR, output_dict=True)
classification_report_LR_df = pd.DataFrame(classification_report_LR).transpose()
# Convert classification report values to percentages
classification_report_LR_df.iloc[:, :-1] *= 100
# Print the classification report DataFrame
print("Logistic Regression Classification Report:")
print(classification_report_LR_df)
Accuracy of Logistic Regression Model: 86.02%
Logistic Regression Classification Report:
precision recall f1-score support
0.0 95.035461 87.581699 91.156463 153.000000
1.0 57.777778 78.787879 66.666667 33.000000
accuracy 86.021505 86.021505 86.021505 0.860215
macro avg 76.406619 83.184789 78.911565 186.000000
weighted avg 88.425227 86.021505 86.811499 186.000000
# Importing required libraries for KNN:
from sklearn.neighbors import KNeighborsClassifier
# Create the K-Nearest Neighbors classifier
model_KNN = KNeighborsClassifier()
# Define the hyperparameter grid
param_grid_KNN = {
'n_neighbors': [3, 5, 7], # Number of neighbors to consider
'weights': ['uniform', 'distance'], # Weight function used in prediction
'p': [1, 2] # Power parameter for the Minkowski distance
}
# Create k-fold cross-validation object (here, k=5)
kfold = KFold(n_splits=5, shuffle=True, random_state=42)
# Create the GridSearchCV object with k-fold cross-validation
grid_search_KNN = GridSearchCV(model_KNN, param_grid_KNN, cv=kfold)
# Perform grid search with k-fold cross-validation to find the best hyperparameters
grid_search_KNN.fit(x_train_filtered, y_train_processed)
GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=KNeighborsClassifier(),
param_grid={'n_neighbors': [3, 5, 7], 'p': [1, 2],
'weights': ['uniform', 'distance']})In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=KNeighborsClassifier(),
param_grid={'n_neighbors': [3, 5, 7], 'p': [1, 2],
'weights': ['uniform', 'distance']})KNeighborsClassifier()
KNeighborsClassifier()
# Retrieve the best model with optimized hyperparameters: K-Nearest Neighbors
best_model_KNN = grid_search_KNN.best_estimator_
best_params_KNN = grid_search_KNN.best_params_
print(best_params_KNN)
{'n_neighbors': 7, 'p': 1, 'weights': 'distance'}
# Train the best model on the full training set
best_model_KNN.fit(x_train_filtered, y_train_processed)
# Make predictions on the test set
y_pred_KNN = best_model_KNN.predict(x_valid_processed)
# Evaluate the model using accuracy and classification report
accuracy_KNN = accuracy_score(y_valid_processed, y_pred_KNN)
accuracy_percentage_KNN = accuracy_KNN * 100
# Print the accuracy
print("Accuracy of K-Nearest Neighbors Model: {:.2f}%".format(accuracy_percentage_KNN))
# Convert the classification report string to a DataFrame
classification_report_KNN = classification_report(y_valid_processed, y_pred_KNN, output_dict=True)
classification_report_KNN_df = pd.DataFrame(classification_report_KNN).transpose()
# Convert classification report values to percentages
classification_report_KNN_df.iloc[:, :-1] *= 100
# Print the classification report DataFrame
print("K-Nearest Neighbors Classification Report:")
print(classification_report_KNN_df)
Accuracy of K-Nearest Neighbors Model: 84.95%
K-Nearest Neighbors Classification Report:
precision recall f1-score support
0.0 96.992481 84.313725 90.209790 153.000000
1.0 54.716981 87.878788 67.441860 33.000000
accuracy 84.946237 84.946237 84.946237 0.849462
macro avg 75.854731 86.096257 78.825825 186.000000
weighted avg 89.491989 84.946237 86.170319 186.000000
# Importing required libraries for NB:
from sklearn.naive_bayes import GaussianNB
# Create the Naive Bayes classifier
model_NB = GaussianNB()
# Train the Naive Bayes model on the training set
model_NB.fit(x_train_filtered, y_train_processed)
# Make predictions on the test set
y_pred_NB = model_NB.predict(x_valid_processed)
# Evaluate the model using accuracy and classification report
accuracy_NB = accuracy_score(y_valid_processed, y_pred_NB)
accuracy_percentage_NB = accuracy_NB * 100
# Print the accuracy
print("Accuracy of Naive Bayes Model: {:.2f}%".format(accuracy_percentage_NB))
# Convert the classification report string to a DataFrame
classification_report_NB = classification_report(y_valid_processed, y_pred_NB, output_dict=True)
classification_report_NB_df = pd.DataFrame(classification_report_NB).transpose()
# Convert classification report values to percentages
classification_report_NB_df.iloc[:, :-1] *= 100
# Print the classification report DataFrame
print("Naive Bayes Classification Report:")
print(classification_report_NB_df)
Accuracy of Naive Bayes Model: 87.63%
Naive Bayes Classification Report:
precision recall f1-score support
0.0 91.139241 94.117647 92.604502 153.000000
1.0 67.857143 57.575758 62.295082 33.000000
accuracy 87.634409 87.634409 87.634409 0.876344
macro avg 79.498192 75.846702 77.449792 186.000000
weighted avg 87.008546 87.634409 87.227024 186.000000
!pip install xgboost
Requirement already satisfied: xgboost in c:\users\apara\anaconda3\lib\site-packages (1.7.6) Requirement already satisfied: scipy in c:\users\apara\anaconda3\lib\site-packages (from xgboost) (1.7.3) Requirement already satisfied: numpy in c:\users\apara\anaconda3\lib\site-packages (from xgboost) (1.22.1)
# Importing required libraries for XGBoost:
import xgboost as xgb
# Create the XGBoost classifier
model_XGB = xgb.XGBClassifier(random_state=42)
# Define the hyperparameter grid
param_grid_XGB = {
'n_estimators': [100, 200, 300], # Number of boosting rounds
'learning_rate': [0.1, 0.01, 0.001], # Step size shrinkage to prevent overfitting
'max_depth': [3, 5, 7], # Maximum depth of a tree
}
# Create k-fold cross-validation object (here, k=5)
kfold = KFold(n_splits=5, shuffle=True, random_state=42)
# Create the GridSearchCV object with k-fold cross-validation
grid_search_XGB = GridSearchCV(model_XGB, param_grid_XGB, cv=kfold)
# Perform grid search with k-fold cross-validation to find the best hyperparameters of the XGBoost Model
grid_search_XGB.fit(x_train_filtered, y_train_processed)
GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=XGBClassifier(base_score=None, booster=None,
callbacks=None, colsample_bylevel=None,
colsample_bynode=None,
colsample_bytree=None,
early_stopping_rounds=None,
enable_categorical=False, eval_metric=None,
feature_types=None, gamma=None,
gpu_id=None, grow_policy=None,
importance_type=None,
int...
learning_rate=None, max_bin=None,
max_cat_threshold=None,
max_cat_to_onehot=None,
max_delta_step=None, max_depth=None,
max_leaves=None, min_child_weight=None,
missing=nan, monotone_constraints=None,
n_estimators=100, n_jobs=None,
num_parallel_tree=None, predictor=None,
random_state=42, ...),
param_grid={'learning_rate': [0.1, 0.01, 0.001],
'max_depth': [3, 5, 7],
'n_estimators': [100, 200, 300]})In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=XGBClassifier(base_score=None, booster=None,
callbacks=None, colsample_bylevel=None,
colsample_bynode=None,
colsample_bytree=None,
early_stopping_rounds=None,
enable_categorical=False, eval_metric=None,
feature_types=None, gamma=None,
gpu_id=None, grow_policy=None,
importance_type=None,
int...
learning_rate=None, max_bin=None,
max_cat_threshold=None,
max_cat_to_onehot=None,
max_delta_step=None, max_depth=None,
max_leaves=None, min_child_weight=None,
missing=nan, monotone_constraints=None,
n_estimators=100, n_jobs=None,
num_parallel_tree=None, predictor=None,
random_state=42, ...),
param_grid={'learning_rate': [0.1, 0.01, 0.001],
'max_depth': [3, 5, 7],
'n_estimators': [100, 200, 300]})XGBClassifier(base_score=None, booster=None, callbacks=None,
colsample_bylevel=None, colsample_bynode=None,
colsample_bytree=None, early_stopping_rounds=None,
enable_categorical=False, eval_metric=None, feature_types=None,
gamma=None, gpu_id=None, grow_policy=None, importance_type=None,
interaction_constraints=None, learning_rate=None, max_bin=None,
max_cat_threshold=None, max_cat_to_onehot=None,
max_delta_step=None, max_depth=None, max_leaves=None,
min_child_weight=None, missing=nan, monotone_constraints=None,
n_estimators=100, n_jobs=None, num_parallel_tree=None,
predictor=None, random_state=42, ...)XGBClassifier(base_score=None, booster=None, callbacks=None,
colsample_bylevel=None, colsample_bynode=None,
colsample_bytree=None, early_stopping_rounds=None,
enable_categorical=False, eval_metric=None, feature_types=None,
gamma=None, gpu_id=None, grow_policy=None, importance_type=None,
interaction_constraints=None, learning_rate=None, max_bin=None,
max_cat_threshold=None, max_cat_to_onehot=None,
max_delta_step=None, max_depth=None, max_leaves=None,
min_child_weight=None, missing=nan, monotone_constraints=None,
n_estimators=100, n_jobs=None, num_parallel_tree=None,
predictor=None, random_state=42, ...)# Retrieve the best model with optimized hyperparameters: XGBoost
best_model_XGB = grid_search_XGB.best_estimator_
best_params_XGB = grid_search_XGB.best_params_
print(best_params_XGB)
{'learning_rate': 0.1, 'max_depth': 3, 'n_estimators': 200}
# Train the best model on the full training set
best_model_XGB.fit(x_train_filtered, y_train_processed)
# Make predictions on the test set
y_pred_XGB = best_model_XGB.predict(x_valid_processed)
# Evaluate the model using accuracy and classification report
accuracy_XGB = accuracy_score(y_valid_processed, y_pred_XGB)
accuracy_percentage_XGB = accuracy_XGB * 100
# Print the accuracy
print("Accuracy of XGBoost Model: {:.2f}%".format(accuracy_percentage_XGB))
# Convert the classification report string to a DataFrame
classification_report_XGB = classification_report(y_valid_processed, y_pred_XGB, output_dict=True)
classification_report_XGB_df = pd.DataFrame(classification_report_XGB).transpose()
# Convert classification report values to percentages
classification_report_XGB_df.iloc[:, :-1] *= 100
# Print the classification report DataFrame
print("XGBoost Classification Report:")
print(classification_report_XGB_df)
Accuracy of XGBoost Model: 90.32%
XGBoost Classification Report:
precision recall f1-score support
0.0 95.918367 92.156863 94.000000 153.000000
1.0 69.230769 81.818182 75.000000 33.000000
accuracy 90.322581 90.322581 90.322581 0.903226
macro avg 82.574568 86.987522 84.500000 186.000000
weighted avg 91.183471 90.322581 90.629032 186.000000
!pip install catboost
Requirement already satisfied: catboost in c:\users\apara\anaconda3\lib\site-packages (1.2) Requirement already satisfied: scipy in c:\users\apara\anaconda3\lib\site-packages (from catboost) (1.7.3) Requirement already satisfied: matplotlib in c:\users\apara\anaconda3\lib\site-packages (from catboost) (3.7.0) Requirement already satisfied: numpy>=1.16.0 in c:\users\apara\anaconda3\lib\site-packages (from catboost) (1.22.1) Requirement already satisfied: graphviz in c:\users\apara\anaconda3\lib\site-packages (from catboost) (0.20.1) Requirement already satisfied: six in c:\users\apara\anaconda3\lib\site-packages (from catboost) (1.16.0) Requirement already satisfied: pandas>=0.24 in c:\users\apara\anaconda3\lib\site-packages (from catboost) (1.5.3) Requirement already satisfied: plotly in c:\users\apara\anaconda3\lib\site-packages (from catboost) (5.9.0) Requirement already satisfied: pytz>=2020.1 in c:\users\apara\anaconda3\lib\site-packages (from pandas>=0.24->catboost) (2022.7) Requirement already satisfied: python-dateutil>=2.8.1 in c:\users\apara\anaconda3\lib\site-packages (from pandas>=0.24->catboost) (2.8.2) Requirement already satisfied: cycler>=0.10 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->catboost) (0.11.0) Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->catboost) (1.4.4) Requirement already satisfied: contourpy>=1.0.1 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->catboost) (1.0.5) Requirement already satisfied: packaging>=20.0 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->catboost) (22.0) Requirement already satisfied: pillow>=6.2.0 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->catboost) (9.4.0) Requirement already satisfied: pyparsing>=2.3.1 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->catboost) (3.0.9) Requirement already satisfied: fonttools>=4.22.0 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib->catboost) (4.25.0) Requirement already satisfied: tenacity>=6.2.0 in c:\users\apara\anaconda3\lib\site-packages (from plotly->catboost) (8.0.1)
# Importing required libraries for Cat Boost:
from catboost import CatBoostClassifier
# Create the CatBoost classifier
model_CatBoost = CatBoostClassifier(random_seed=42, verbose=False)
# Define the hyperparameter grid
param_grid_CatBoost = {
'iterations': [100, 200, 300], # Number of boosting rounds
'learning_rate': [0.1, 0.01, 0.001], # Step size shrinkage to prevent overfitting
'depth': [3, 5, 7], # Maximum depth of a tree
}
# Create k-fold cross-validation object (here, k=5)
kfold = KFold(n_splits=5, shuffle=True, random_state=42)
# Create the GridSearchCV object with k-fold cross-validation
grid_search_CatBoost = GridSearchCV(model_CatBoost, param_grid_CatBoost, cv=kfold)
# Perform grid search with k-fold cross-validation to find the best hyperparameters of the CatBoost Model
grid_search_CatBoost.fit(x_train_filtered, y_train_processed)
GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=<catboost.core.CatBoostClassifier object at 0x0000020C0B9D56C0>,
param_grid={'depth': [3, 5, 7], 'iterations': [100, 200, 300],
'learning_rate': [0.1, 0.01, 0.001]})In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. GridSearchCV(cv=KFold(n_splits=5, random_state=42, shuffle=True),
estimator=<catboost.core.CatBoostClassifier object at 0x0000020C0B9D56C0>,
param_grid={'depth': [3, 5, 7], 'iterations': [100, 200, 300],
'learning_rate': [0.1, 0.01, 0.001]})<catboost.core.CatBoostClassifier object at 0x0000020C0B9D56C0>
<catboost.core.CatBoostClassifier object at 0x0000020C0B9D56C0>
# Retrieve the best model with optimized hyperparameters: CatBoost
best_model_CatBoost = grid_search_CatBoost.best_estimator_
best_params_CatBoost = grid_search_CatBoost.best_params_
print(best_params_CatBoost)
{'depth': 7, 'iterations': 200, 'learning_rate': 0.1}
# Train the best model on the full training set
best_model_CatBoost.fit(x_train_filtered, y_train_processed)
# Make predictions on the test set
y_pred_CatBoost = best_model_CatBoost.predict(x_valid_processed)
# Evaluate the model using accuracy and classification report
accuracy_CatBoost = accuracy_score(y_valid_processed, y_pred_CatBoost)
accuracy_percentage_CatBoost = accuracy_CatBoost * 100
# Print the accuracy
print("Accuracy of CatBoost Model: {:.2f}%".format(accuracy_percentage_CatBoost))
# Convert the classification report string to a DataFrame
classification_report_CatBoost = classification_report(y_valid_processed, y_pred_CatBoost, output_dict=True)
classification_report_CatBoost_df = pd.DataFrame(classification_report_CatBoost).transpose()
# Convert classification report values to percentages
classification_report_CatBoost_df.iloc[:, :-1] *= 100
# Print the classification report DataFrame
print("CatBoost Classification Report:")
print(classification_report_CatBoost_df)
Accuracy of CatBoost Model: 88.71%
CatBoost Classification Report:
precision recall f1-score support
0.0 95.205479 90.849673 92.976589 153.000000
1.0 65.000000 78.787879 71.232877 33.000000
accuracy 88.709677 88.709677 88.709677 0.887097
macro avg 80.102740 84.818776 82.104733 186.000000
weighted avg 89.846443 88.709677 89.118833 186.000000
pip install matplotlib
Requirement already satisfied: matplotlib in c:\users\apara\anaconda3\lib\site-packages (3.7.0) Requirement already satisfied: contourpy>=1.0.1 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib) (1.0.5) Requirement already satisfied: numpy>=1.20 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib) (1.22.1) Requirement already satisfied: fonttools>=4.22.0 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib) (4.25.0) Requirement already satisfied: pyparsing>=2.3.1 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib) (3.0.9) Requirement already satisfied: cycler>=0.10 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib) (0.11.0) Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib) (1.4.4) Requirement already satisfied: packaging>=20.0 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib) (22.0) Requirement already satisfied: pillow>=6.2.0 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib) (9.4.0) Requirement already satisfied: python-dateutil>=2.7 in c:\users\apara\anaconda3\lib\site-packages (from matplotlib) (2.8.2) Requirement already satisfied: six>=1.5 in c:\users\apara\anaconda3\lib\site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0) Note: you may need to restart the kernel to use updated packages.
# List of model names and their corresponding accuracies
model_names = ['Logistic Regression', 'Naive Bayes', 'Decision Tree', 'Random Forest', 'K-Nearest Neighbors', 'XGBoost', 'CatBoost']
accuracies = [accuracy_percentage_LR, accuracy_percentage_NB, accuracy_percentage_DT, accuracy_percentage_RF,accuracy_percentage_KNN, accuracy_percentage_XGB, accuracy_percentage_CatBoost]
# Find the index of the highest accuracy
highest_accuracy_index = np.argmax(accuracies)
# Plotting the accuracy of different models
plt.figure(figsize=(10, 6))
bars = plt.bar(model_names, accuracies, color='MediumBlue')
plt.ylim(0, 100)
plt.xlabel('Models')
plt.ylabel('Accuracy (%)')
plt.title('Model Accuracy Comparison')
plt.xticks(rotation=45, ha='right')
# Displaying the accuracy values above each bar
for i, v in enumerate(accuracies):
plt.text(i, v + 1, "{:.2f}%".format(v), ha='center', va='bottom', fontsize=9, fontweight='bold')
# Set a different color for the highest accuracy bar
bars[highest_accuracy_index].set_color('Red')
plt.tight_layout()
plt.show()
# Checking the features of test dataset:
test_df.head()
| Id | AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EJ | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 00eed32682bb | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | A | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1 | 010ebe33f668 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | A | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2 | 02fa521e1838 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | A | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3 | 040e15f562a2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | A | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4 | 046e85c7cc7f | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | A | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
# checking datatypes & null values of test dataset:
test_df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 5 entries, 0 to 4 Data columns (total 57 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Id 5 non-null object 1 AB 5 non-null float64 2 AF 5 non-null float64 3 AH 5 non-null float64 4 AM 5 non-null float64 5 AR 5 non-null float64 6 AX 5 non-null float64 7 AY 5 non-null float64 8 AZ 5 non-null float64 9 BC 5 non-null float64 10 BD 5 non-null float64 11 BN 5 non-null float64 12 BP 5 non-null float64 13 BQ 5 non-null float64 14 BR 5 non-null float64 15 BZ 5 non-null float64 16 CB 5 non-null float64 17 CC 5 non-null float64 18 CD 5 non-null float64 19 CF 5 non-null float64 20 CH 5 non-null float64 21 CL 5 non-null float64 22 CR 5 non-null float64 23 CS 5 non-null float64 24 CU 5 non-null float64 25 CW 5 non-null float64 26 DA 5 non-null float64 27 DE 5 non-null float64 28 DF 5 non-null float64 29 DH 5 non-null float64 30 DI 5 non-null float64 31 DL 5 non-null float64 32 DN 5 non-null float64 33 DU 5 non-null float64 34 DV 5 non-null float64 35 DY 5 non-null float64 36 EB 5 non-null float64 37 EE 5 non-null float64 38 EG 5 non-null float64 39 EH 5 non-null float64 40 EJ 5 non-null object 41 EL 5 non-null float64 42 EP 5 non-null float64 43 EU 5 non-null float64 44 FC 5 non-null float64 45 FD 5 non-null float64 46 FE 5 non-null float64 47 FI 5 non-null float64 48 FL 5 non-null float64 49 FR 5 non-null float64 50 FS 5 non-null float64 51 GB 5 non-null float64 52 GE 5 non-null float64 53 GF 5 non-null float64 54 GH 5 non-null float64 55 GI 5 non-null float64 56 GL 5 non-null float64 dtypes: float64(55), object(2) memory usage: 2.4+ KB
# Dropping the column of id as not required:
test_x = test_df.drop("Id", axis = 1)
test_x.head()
| AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EJ | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | A | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | A | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | A | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | A | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | A | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
# Fit and transform the 'EJ' column in the train dataset
test_x['EJ'] = label_encoder.fit_transform(test_x['EJ'])
# Print the encoded DataFrame
test_x.head()
| AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EJ | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
# Assuming x_train.columns and test_x.columns are not in the same order
test_x = test_x.reindex(columns=x_train.columns)
# Scale the test_x data using the scaler
test_x_scaled = scaler.transform(test_x)
# Convert the scaled array back to a DataFrame
test_x_scaled_df = pd.DataFrame(test_x_scaled, columns=test_x.columns)
# Print the scaled DataFrame
test_x_scaled_df.head()
| AB | AF | AH | AM | AR | AX | AY | AZ | BC | BD | BN | BP | BQ | BR | BZ | CB | CC | CD | CF | CH | CL | CR | CS | CU | CW | DA | DE | DF | DH | DI | DL | DN | DU | DV | DY | EB | EE | EG | EH | EL | EP | EU | FC | FD | FE | FI | FL | FR | FS | GB | GE | GF | GH | GI | GL | EJ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -0.953938 | -1.68874 | -0.980614 | -0.556082 | -1.089497 | -2.082763 | -0.13559 | -2.549916 | -0.122038 | -1.579278 | -6.111085 | -1.184475 | -1.077923 | -0.339968 | -0.235943 | -0.526381 | -2.671424 | -1.689007 | -0.906916 | -2.148923 | -0.797822 | -2.641951 | -2.416079 | -2.697119 | -1.802673 | -2.556235 | -1.250301 | -0.29423 | -3.300414 | -1.66411 | -3.236556 | -3.471453 | -0.218693 | -1.47925 | -1.444573 | -1.545561 | -1.533729 | -0.937579 | -0.433332 | -1.839692 | -1.724393 | -0.331081 | -0.568678 | -0.410914 | -0.862248 | -3.40328 | -0.496826 | -0.074137 | -0.283943 | -2.020124 | -0.920747 | -0.781901 | -3.150813 | -1.402969 | -0.832533 | -1.334408 |
| 1 | -0.953938 | -1.68874 | -0.980614 | -0.556082 | -1.089497 | -2.082763 | -0.13559 | -2.549916 | -0.122038 | -1.579278 | -6.111085 | -1.184475 | -1.077923 | -0.339968 | -0.235943 | -0.526381 | -2.671424 | -1.689007 | -0.906916 | -2.148923 | -0.797822 | -2.641951 | -2.416079 | -2.697119 | -1.802673 | -2.556235 | -1.250301 | -0.29423 | -3.300414 | -1.66411 | -3.236556 | -3.471453 | -0.218693 | -1.47925 | -1.444573 | -1.545561 | -1.533729 | -0.937579 | -0.433332 | -1.839692 | -1.724393 | -0.331081 | -0.568678 | -0.410914 | -0.862248 | -3.40328 | -0.496826 | -0.074137 | -0.283943 | -2.020124 | -0.920747 | -0.781901 | -3.150813 | -1.402969 | -0.832533 | -1.334408 |
| 2 | -0.953938 | -1.68874 | -0.980614 | -0.556082 | -1.089497 | -2.082763 | -0.13559 | -2.549916 | -0.122038 | -1.579278 | -6.111085 | -1.184475 | -1.077923 | -0.339968 | -0.235943 | -0.526381 | -2.671424 | -1.689007 | -0.906916 | -2.148923 | -0.797822 | -2.641951 | -2.416079 | -2.697119 | -1.802673 | -2.556235 | -1.250301 | -0.29423 | -3.300414 | -1.66411 | -3.236556 | -3.471453 | -0.218693 | -1.47925 | -1.444573 | -1.545561 | -1.533729 | -0.937579 | -0.433332 | -1.839692 | -1.724393 | -0.331081 | -0.568678 | -0.410914 | -0.862248 | -3.40328 | -0.496826 | -0.074137 | -0.283943 | -2.020124 | -0.920747 | -0.781901 | -3.150813 | -1.402969 | -0.832533 | -1.334408 |
| 3 | -0.953938 | -1.68874 | -0.980614 | -0.556082 | -1.089497 | -2.082763 | -0.13559 | -2.549916 | -0.122038 | -1.579278 | -6.111085 | -1.184475 | -1.077923 | -0.339968 | -0.235943 | -0.526381 | -2.671424 | -1.689007 | -0.906916 | -2.148923 | -0.797822 | -2.641951 | -2.416079 | -2.697119 | -1.802673 | -2.556235 | -1.250301 | -0.29423 | -3.300414 | -1.66411 | -3.236556 | -3.471453 | -0.218693 | -1.47925 | -1.444573 | -1.545561 | -1.533729 | -0.937579 | -0.433332 | -1.839692 | -1.724393 | -0.331081 | -0.568678 | -0.410914 | -0.862248 | -3.40328 | -0.496826 | -0.074137 | -0.283943 | -2.020124 | -0.920747 | -0.781901 | -3.150813 | -1.402969 | -0.832533 | -1.334408 |
| 4 | -0.953938 | -1.68874 | -0.980614 | -0.556082 | -1.089497 | -2.082763 | -0.13559 | -2.549916 | -0.122038 | -1.579278 | -6.111085 | -1.184475 | -1.077923 | -0.339968 | -0.235943 | -0.526381 | -2.671424 | -1.689007 | -0.906916 | -2.148923 | -0.797822 | -2.641951 | -2.416079 | -2.697119 | -1.802673 | -2.556235 | -1.250301 | -0.29423 | -3.300414 | -1.66411 | -3.236556 | -3.471453 | -0.218693 | -1.47925 | -1.444573 | -1.545561 | -1.533729 | -0.937579 | -0.433332 | -1.839692 | -1.724393 | -0.331081 | -0.568678 | -0.410914 | -0.862248 | -3.40328 | -0.496826 | -0.074137 | -0.283943 | -2.020124 | -0.920747 | -0.781901 | -3.150813 | -1.402969 | -0.832533 | -1.334408 |
# checking test_x_scaled_df dataframe
test_x_scaled_df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 5 entries, 0 to 4 Data columns (total 56 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 AB 5 non-null float64 1 AF 5 non-null float64 2 AH 5 non-null float64 3 AM 5 non-null float64 4 AR 5 non-null float64 5 AX 5 non-null float64 6 AY 5 non-null float64 7 AZ 5 non-null float64 8 BC 5 non-null float64 9 BD 5 non-null float64 10 BN 5 non-null float64 11 BP 5 non-null float64 12 BQ 5 non-null float64 13 BR 5 non-null float64 14 BZ 5 non-null float64 15 CB 5 non-null float64 16 CC 5 non-null float64 17 CD 5 non-null float64 18 CF 5 non-null float64 19 CH 5 non-null float64 20 CL 5 non-null float64 21 CR 5 non-null float64 22 CS 5 non-null float64 23 CU 5 non-null float64 24 CW 5 non-null float64 25 DA 5 non-null float64 26 DE 5 non-null float64 27 DF 5 non-null float64 28 DH 5 non-null float64 29 DI 5 non-null float64 30 DL 5 non-null float64 31 DN 5 non-null float64 32 DU 5 non-null float64 33 DV 5 non-null float64 34 DY 5 non-null float64 35 EB 5 non-null float64 36 EE 5 non-null float64 37 EG 5 non-null float64 38 EH 5 non-null float64 39 EL 5 non-null float64 40 EP 5 non-null float64 41 EU 5 non-null float64 42 FC 5 non-null float64 43 FD 5 non-null float64 44 FE 5 non-null float64 45 FI 5 non-null float64 46 FL 5 non-null float64 47 FR 5 non-null float64 48 FS 5 non-null float64 49 GB 5 non-null float64 50 GE 5 non-null float64 51 GF 5 non-null float64 52 GH 5 non-null float64 53 GI 5 non-null float64 54 GL 5 non-null float64 55 EJ 5 non-null float64 dtypes: float64(56) memory usage: 2.3 KB
# Assuming x_train_filtered.columns and test_x_scaled_df.columns are not in the same order
test_x_scaled_df = test_x_scaled_df.reindex(columns=x_train_filtered.columns)
# Predicting the outputs on the features of test_x_scaled_df
test_predictions = best_model_RF.predict_proba(test_x_scaled_df)
test_preds = test_predictions[:, 1]
test_preds
array([0.3309246, 0.3309246, 0.3309246, 0.3309246, 0.3309246])
# Probability of the class to be 0 or 1 for the given test dataset:
sub_df = pd.DataFrame({'Id': test_df['Id'], 'Class_0': 1-test_preds, 'Class_1': test_preds})
sub_df.to_csv('test.csv', index=False)
sub_df.head()
| Id | Class_0 | Class_1 | |
|---|---|---|---|
| 0 | 00eed32682bb | 0.669075 | 0.330925 |
| 1 | 010ebe33f668 | 0.669075 | 0.330925 |
| 2 | 02fa521e1838 | 0.669075 | 0.330925 |
| 3 | 040e15f562a2 | 0.669075 | 0.330925 |
| 4 | 046e85c7cc7f | 0.669075 | 0.330925 |